1630 lines
2.3 MiB
1630 lines
2.3 MiB
<!DOCTYPE html>
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<!-- Created by pdf2htmlEX (https://github.com/pdf2htmlEX/pdf2htmlEX) -->
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<html xmlns="http://www.w3.org/1999/xhtml">
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<head>
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<meta charset="utf-8"/>
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<meta name="generator" content="pdf2htmlEX"/>
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<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"/>
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<style type="text/css">
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/*!
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* Base CSS for pdf2htmlEX
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* Copyright 2012,2013 Lu Wang <coolwanglu@gmail.com>
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* https://github.com/pdf2htmlEX/pdf2htmlEX/blob/master/share/LICENSE
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*/#sidebar{position:absolute;top:0;left:0;bottom:0;width:250px;padding:0;margin:0;overflow:auto}#page-container{position:absolute;top:0;left:0;margin:0;padding:0;border:0}@media screen{#sidebar.opened+#page-container{left:250px}#page-container{bottom:0;right:0;overflow:auto}.loading-indicator{display:none}.loading-indicator.active{display:block;position:absolute;width:64px;height:64px;top:50%;left:50%;margin-top:-32px;margin-left:-32px}.loading-indicator img{position:absolute;top:0;left:0;bottom:0;right:0}}@media print{@page{margin:0}html{margin:0}body{margin:0;-webkit-print-color-adjust:exact}#sidebar{display:none}#page-container{width:auto;height:auto;overflow:visible;background-color:transparent}.d{display:none}}.pf{position:relative;background-color:white;overflow:hidden;margin:0;border:0}.pc{position:absolute;border:0;padding:0;margin:0;top:0;left:0;width:100%;height:100%;overflow:hidden;display:block;transform-origin:0 0;-ms-transform-origin:0 0;-webkit-transform-origin:0 0}.pc.opened{display:block}.bf{position:absolute;border:0;margin:0;top:0;bottom:0;width:100%;height:100%;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;user-select:none}.bi{position:absolute;border:0;margin:0;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;user-select:none}@media print{.pf{margin:0;box-shadow:none;page-break-after:always;page-break-inside:avoid}@-moz-document url-prefix(){.pf{overflow:visible;border:1px solid #fff}.pc{overflow:visible}}}.c{position:absolute;border:0;padding:0;margin:0;overflow:hidden;display:block}.t{position:absolute;white-space:pre;font-size:1px;transform-origin:0 100%;-ms-transform-origin:0 100%;-webkit-transform-origin:0 100%;unicode-bidi:bidi-override;-moz-font-feature-settings:"liga" 0}.t:after{content:''}.t:before{content:'';display:inline-block}.t span{position:relative;unicode-bidi:bidi-override}._{display:inline-block;color:transparent;z-index:-1}::selection{background:rgba(127,255,255,0.4)}::-moz-selection{background:rgba(127,255,255,0.4)}.pi{display:none}.d{position:absolute;transform-origin:0 100%;-ms-transform-origin:0 100%;-webkit-transform-origin:0 100%}.it{border:0;background-color:rgba(255,255,255,0.0)}.ir:hover{cursor:pointer}</style>
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<style type="text/css">
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/*!
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* Fancy styles for pdf2htmlEX
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* Copyright 2012,2013 Lu Wang <coolwanglu@gmail.com>
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* https://github.com/pdf2htmlEX/pdf2htmlEX/blob/master/share/LICENSE
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*/@keyframes fadein{from{opacity:0}to{opacity:1}}@-webkit-keyframes fadein{from{opacity:0}to{opacity:1}}@keyframes swing{0{transform:rotate(0)}10%{transform:rotate(0)}90%{transform:rotate(720deg)}100%{transform:rotate(720deg)}}@-webkit-keyframes swing{0{-webkit-transform:rotate(0)}10%{-webkit-transform:rotate(0)}90%{-webkit-transform:rotate(720deg)}100%{-webkit-transform:rotate(720deg)}}@media screen{#sidebar{background-color:#2f3236;background-image:url("data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI0IiBoZWlnaHQ9IjQiPgo8cmVjdCB3aWR0aD0iNCIgaGVpZ2h0PSI0IiBmaWxsPSIjNDAzYzNmIj48L3JlY3Q+CjxwYXRoIGQ9Ik0wIDBMNCA0Wk00IDBMMCA0WiIgc3Ryb2tlLXdpZHRoPSIxIiBzdHJva2U9IiMxZTI5MmQiPjwvcGF0aD4KPC9zdmc+")}#outline{font-family:Georgia,Times,"Times New Roman",serif;font-size:13px;margin:2em 1em}#outline ul{padding:0}#outline li{list-style-type:none;margin:1em 0}#outline li>ul{margin-left:1em}#outline a,#outline a:visited,#outline a:hover,#outline a:active{line-height:1.2;color:#e8e8e8;text-overflow:ellipsis;white-space:nowrap;text-decoration:none;display:block;overflow:hidden;outline:0}#outline a:hover{color:#0cf}#page-container{background-color:#9e9e9e;background-image:url("data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI1IiBoZWlnaHQ9IjUiPgo8cmVjdCB3aWR0aD0iNSIgaGVpZ2h0PSI1IiBmaWxsPSIjOWU5ZTllIj48L3JlY3Q+CjxwYXRoIGQ9Ik0wIDVMNSAwWk02IDRMNCA2Wk0tMSAxTDEgLTFaIiBzdHJva2U9IiM4ODgiIHN0cm9rZS13aWR0aD0iMSI+PC9wYXRoPgo8L3N2Zz4=");-webkit-transition:left 500ms;transition:left 500ms}.pf{margin:13px auto;box-shadow:1px 1px 3px 1px #333;border-collapse:separate}.pc.opened{-webkit-animation:fadein 100ms;animation:fadein 100ms}.loading-indicator.active{-webkit-animation:swing 1.5s ease-in-out .01s infinite alternate none;animation:swing 1.5s ease-in-out .01s infinite alternate none}.checked{background:no-repeat url(data:image/png;base64,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)}}</style>
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<style type="text/css">
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.ff0{font-family:sans-serif;visibility:hidden;}
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<script>
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/*
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Copyright 2012 Mozilla Foundation
|
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Copyright 2013 Lu Wang <coolwanglu@gmail.com>
|
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Apachine License Version 2.0
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*/
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(function(){function b(a,b,e,f){var c=(a.className||"").split(/\s+/g);""===c[0]&&c.shift();var d=c.indexOf(b);0>d&&e&&c.push(b);0<=d&&f&&c.splice(d,1);a.className=c.join(" ");return 0<=d}if(!("classList"in document.createElement("div"))){var e={add:function(a){b(this.element,a,!0,!1)},contains:function(a){return b(this.element,a,!1,!1)},remove:function(a){b(this.element,a,!1,!0)},toggle:function(a){b(this.element,a,!0,!0)}};Object.defineProperty(HTMLElement.prototype,"classList",{get:function(){if(this._classList)return this._classList;
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</script>
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<script>
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(function(){/*
|
||
pdf2htmlEX.js: Core UI functions for pdf2htmlEX
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Copyright 2012,2013 Lu Wang <coolwanglu@gmail.com> and other contributors
|
||
https://github.com/pdf2htmlEX/pdf2htmlEX/blob/master/share/LICENSE
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*/
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<ul><li><a class="l" href="#pf6" data-dest-detail='[6,"XYZ",28.346,255.118,null]'>Introduction</a><ul><li><a class="l" href="#pf9" data-dest-detail='[9,"XYZ",28.346,228.21,null]'>Moore's Law</a></li><li><a class="l" href="#pfc" data-dest-detail='[12,"XYZ",28.346,228.21,null]'>Moore's Law Limitations</a></li><li><a class="l" href="#pff" data-dest-detail='[15,"XYZ",28.346,228.21,null]'>Reasons for Optimizing</a></li></ul></li><li><a class="l" href="#pf13" data-dest-detail='[19,"XYZ",28.346,255.118,null]'>Basic Concepts</a><ul><li><a class="l" href="#pf14" data-dest-detail='[20,"XYZ",28.346,228.21,null]'>Asymptotic Complexity</a></li><li><a class="l" href="#pf16" data-dest-detail='[22,"XYZ",28.346,216.411,null]'>Time-Memory Trade-off</a></li><li><a class="l" href="#pf17" data-dest-detail='[23,"XYZ",28.346,228.21,null]'>Developing Cycle</a></li><li><a class="l" href="#pf1a" data-dest-detail='[26,"XYZ",28.346,228.21,null]'>Ahmdal's Law</a></li><li><a class="l" href="#pf1d" data-dest-detail='[29,"XYZ",28.346,228.21,null]'>Throughput, Bandwidth, Latency</a></li><li><a class="l" href="#pf1e" data-dest-detail='[30,"XYZ",28.346,205.331,null]'>Performance Bounds</a></li><li><a class="l" href="#pf20" data-dest-detail='[32,"XYZ",28.346,202.124,null]'>Arithmetic Intensity</a></li></ul></li><li><a class="l" href="#pf26" data-dest-detail='[38,"XYZ",28.346,255.118,null]'>Basic Architecture Concepts</a><ul><li><a class="l" href="#pf27" data-dest-detail='[39,"XYZ",28.346,213.921,null]'>Instruction Throughput (IPC), In-Order, and Out-of-Order Execution</a></li><li><a class="l" href="#pf28" data-dest-detail='[40,"XYZ",28.346,206.212,null]'>Instruction Pipelining</a></li><li><a class="l" href="#pf2b" data-dest-detail='[43,"XYZ",28.346,228.21,null]'>Instruction-Level Parallelism (ILP)</a></li><li><a class="l" href="#pf2d" data-dest-detail='[45,"XYZ",28.346,228.21,null]'>Little's Law</a></li><li><a class="l" href="#pf2e" data-dest-detail='[46,"XYZ",28.346,228.21,null]'>Data-Level Parallelism (DLP) and Vector Instructions (SIMD)</a></li><li><a class="l" href="#pf2f" data-dest-detail='[47,"XYZ",28.346,170.052,null]'>Thread-Level Parallelism (TLP)</a></li><li><a class="l" href="#pf30" data-dest-detail='[48,"XYZ",28.346,216.73,null]'>Single Instruction Multiple Threads (SIMT)</a></li><li><a class="l" href="#pf31" data-dest-detail='[49,"XYZ",28.346,190.63,null]'>RISC, CISC Instruction Sets</a></li></ul></li><li><a class="l" href="#pf37" data-dest-detail='[55,"XYZ",28.346,255.118,null]'>Memory Concepts</a><ul><li><a class="l" href="#pf3f" data-dest-detail='[63,"XYZ",28.346,228.21,null]'>Memory Hierarchy Concepts</a></li><li><a class="l" href="#pf43" data-dest-detail='[67,"XYZ",28.346,215.874,null]'>Memory Locality</a></li><li><a class="l" href="#pf44" data-dest-detail='[68,"XYZ",28.346,228.21,null]'>Core-to-Core Latency and Thread Affinity</a></li><li><a class="l" href="#pf46" data-dest-detail='[70,"XYZ",28.346,228.21,null]'>Memory Ordering Model</a></li></ul></li></ul></div>
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class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">T<span class="_ _8"></span>able<span class="_ _9"> </span>of<span class="_ _9"> </span>Contents</div><div class="t m0 x5 h8 y8 ff1 fs4 fc2 sc0 ls0 ws0">1<span class="_ _a"> </span><span class="fs2 fc0">Intro<span class="_ _b"></span>duction</span></div><div class="t m0 x6 h6 y9 ff4 fs4 fc0 sc0 ls0 ws0">Mo<span class="_ _b"></span>o<span class="_ _3"></span>re’s<span class="_ _c"> </span>La<span class="_ _3"></span>w</div><div class="t m0 x6 h6 ya ff4 fs4 fc0 sc0 ls0 ws0">Mo<span class="_ _b"></span>o<span class="_ _3"></span>re’s<span class="_ _c"> </span>La<span class="_ _3"></span>w<span class="_ _c"> </span>Limitations</div><div class="t m0 x6 h6 yb ff4 fs4 fc0 sc0 ls0 ws0">Reasons<span class="_ _c"> </span>fo<span class="_ _3"></span>r<span class="_ _c"> </span>Optimizing</div><div class="t m0 x7 h9 yc ff5 fs5 fc0 sc0 ls0 ws0">1/65</div><a class="l" href="#pf6" data-dest-detail='[6,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:145.489000px;width:82.769000px;height:13.782000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf9" data-dest-detail='[9,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:128.113000px;width:55.126000px;height:8.911000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pfc" data-dest-detail='[12,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:108.910000px;width:104.828000px;height:8.911000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pff" data-dest-detail='[15,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:87.770000px;width:98.795000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf3" class="pf w0 h0" data-page-no="3"><div class="pc pc3 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">T<span class="_ _8"></span>able<span class="_ _9"> </span>of<span class="_ _9"> </span>Contents</div><div class="t m0 x5 h8 yd ff1 fs4 fc2 sc0 ls0 ws0">2<span class="_ _a"> </span><span class="fs2 fc0">Basic<span class="_ _6"> </span>Concepts</span></div><div class="t m0 x6 h6 ye ff4 fs4 fc0 sc0 ls0 ws0">Asymptotic<span class="_ _c"> </span>Complexit<span class="_ _3"></span>y</div><div class="t m0 x6 h6 yf ff4 fs4 fc0 sc0 ls0 ws0">Time-Memo<span class="_ _3"></span>ry<span class="_ _c"> </span>T<span class="_ _3"></span>rade-off</div><div class="t m0 x6 h6 y10 ff4 fs4 fc0 sc0 ls0 ws0">Developing<span class="_ _c"> </span>Cycle</div><div class="t m0 x6 h6 y11 ff4 fs4 fc0 sc0 ls0 ws0">Ahmdal’s<span class="_ _c"> </span>La<span class="_ _3"></span>w</div><div class="t m0 x6 h6 y12 ff4 fs4 fc0 sc0 ls0 ws0">Throughput,<span class="_ _c"> </span>Bandwidth,<span class="_ _c"> </span>Latency</div><div class="t m0 x6 h6 y13 ff4 fs4 fc0 sc0 ls0 ws0">P<span class="_ _3"></span>erformance<span class="_ _c"> </span>Bounds</div><div class="t m0 x6 h6 y14 ff4 fs4 fc0 sc0 ls0 ws0">Arithmetic<span class="_ _c"> </span>Intensit<span class="_ _3"></span>y</div><div class="t m0 x7 h9 yc ff5 fs5 fc0 sc0 ls0 ws0">2/65</div><a class="l" href="#pf13" data-dest-detail='[19,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:188.910000px;width:102.300000px;height:14.744000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf14" data-dest-detail='[20,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:170.559000px;width:98.519000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf16" data-dest-detail='[22,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:151.356000px;width:101.729000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf17" data-dest-detail='[23,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:132.153000px;width:73.170000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf1a" data-dest-detail='[26,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:114.887000px;width:60.633000px;height:8.912000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf1d" data-dest-detail='[29,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:93.747000px;width:140.832000px;height:10.849000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf1e" data-dest-detail='[30,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:76.482000px;width:87.976000px;height:8.911000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf20" data-dest-detail='[32,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:55.342000px;width:84.433000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf4" class="pf w0 h0" data-page-no="4"><div class="pc pc4 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">T<span class="_ _8"></span>able<span class="_ _9"> </span>of<span class="_ _9"> </span>Contents</div><div class="t m0 x5 h8 y15 ff1 fs4 fc2 sc0 ls0 ws0">3<span class="_ _a"> </span><span class="fs2 fc0">Basic<span class="_ _6"> </span>Architecture<span class="_ _d"> </span>Concepts</span></div><div class="t m0 x6 h6 y16 ff4 fs4 fc0 sc0 ls0 ws0">Instruction<span class="_ _c"> </span>Throughput<span class="_ _c"> </span>(<span class="ff6">IPC</span>),<span class="_ _c"> </span>In-Order,<span class="_ _c"> </span>and<span class="_ _c"> </span>Out-of-Order<span class="_ _c"> </span>Execution</div><div class="t m0 x6 h6 y17 ff4 fs4 fc0 sc0 ls0 ws0">Instruction<span class="_ _c"> </span>Pipelining</div><div class="t m0 x6 h6 y18 ff4 fs4 fc0 sc0 ls0 ws0">Instruction-Level<span class="_ _c"> </span>P<span class="_ _3"></span>arallelism<span class="_ _c"> </span>(<span class="ff6">ILP</span>)</div><div class="t m0 x6 h6 y19 ff4 fs4 fc0 sc0 ls0 ws0">Little’s<span class="_ _c"> </span>La<span class="_ _3"></span>w</div><div class="t m0 x6 h6 y1a ff4 fs4 fc0 sc0 ls0 ws0">Data-Level<span class="_ _c"> </span>P<span class="_ _3"></span>arallelism<span class="_ _c"> </span>(<span class="ff6">DLP</span>)<span class="_ _c"> </span>and<span class="_ _c"> </span>V<span class="_ _3"></span>ecto<span class="_ _3"></span>r<span class="_ _c"> </span>Instructions<span class="_ _c"> </span>(<span class="ff6">SIMD</span>)</div><div class="t m0 x6 h6 y1b ff4 fs4 fc0 sc0 ls0 ws0">Thread-Level<span class="_ _c"> </span>P<span class="_ _3"></span>arallelism<span class="_ _c"> </span>(<span class="ff6">TLP</span>)</div><div class="t m0 x6 h6 y1c ff4 fs4 fc0 sc0 ls0 ws0">Single<span class="_ _c"> </span>Instruction<span class="_ _c"> </span>Multiple<span class="_ _c"> </span>Threads<span class="_ _c"> </span>(<span class="ff6">SIMT</span>)</div><div class="t m0 x6 h6 y1d ff4 fs4 fc0 sc0 ls0 ws0">RISC,<span class="_ _c"> </span>CISC<span class="_ _c"> </span>Instruction<span class="_ _c"> </span>Sets</div><div class="t m0 x7 h9 yc ff5 fs5 fc0 sc0 ls0 ws0">3/65</div><a class="l" href="#pf26" data-dest-detail='[38,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:198.165000px;width:188.815000px;height:14.745000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf27" data-dest-detail='[39,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:179.261000px;width:289.940000px;height:11.821000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf28" data-dest-detail='[40,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:160.612000px;width:90.743000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf2b" data-dest-detail='[43,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:140.855000px;width:145.510000px;height:11.821000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf2d" data-dest-detail='[45,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:124.143000px;width:50.394000px;height:8.911000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf2e" data-dest-detail='[46,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:102.449000px;width:253.660000px;height:11.821000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf2f" data-dest-detail='[47,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:83.246000px;width:130.788000px;height:11.821000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf30" data-dest-detail='[48,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:64.044000px;width:180.905000px;height:11.820000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf31" data-dest-detail='[49,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:46.086000px;width:118.652000px;height:10.156000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf5" class="pf w0 h0" data-page-no="5"><div class="pc pc5 w0 h0"><img class="bi x0 y0 w1 h1" alt="" 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class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">T<span class="_ _8"></span>able<span class="_ _9"> </span>of<span class="_ _9"> </span>Contents</div><div class="t m0 x5 h8 y1e ff1 fs4 fc2 sc0 ls0 ws0">4<span class="_ _a"> </span><span class="fs2 fc0">Memo<span class="_ _3"></span>ry<span class="_ _d"> </span>Concepts</span></div><div class="t m0 x6 h6 y1f ff4 fs4 fc0 sc0 ls0 ws0">Memo<span class="_ _3"></span>ry<span class="_ _c"> </span>Hierarchy<span class="_ _c"> </span>Concepts</div><div class="t m0 x6 h6 y20 ff4 fs4 fc0 sc0 ls0 ws0">Memo<span class="_ _3"></span>ry<span class="_ _c"> </span>Lo<span class="_ _b"></span>calit<span class="_ _3"></span>y</div><div class="t m0 x6 h6 y21 ff4 fs4 fc0 sc0 ls0 ws0">Co<span class="_ _3"></span>re-to-Core<span class="_ _c"> </span>Latency<span class="_ _c"> </span>and<span class="_ _c"> </span>Thread<span class="_ _c"> </span>Affinit<span class="_ _3"></span>y</div><div class="t m0 x6 h6 y22 ff4 fs4 fc0 sc0 ls0 ws0">Memo<span class="_ _3"></span>ry<span class="_ _c"> </span>Ordering<span class="_ _c"> </span>Mo<span class="_ _b"></span>del</div><div class="t m0 x7 h9 yc ff5 fs5 fc0 sc0 ls0 ws0">4/65</div><a class="l" href="#pf37" data-dest-detail='[55,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:160.105000px;width:121.278000px;height:14.745000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf3f" data-dest-detail='[63,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:141.755000px;width:119.662000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf43" data-dest-detail='[67,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:122.552000px;width:71.620000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf44" data-dest-detail='[68,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:103.349000px;width:175.647000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf46" data-dest-detail='[70,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:84.146000px;width:104.552000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">P<span class="_ _3"></span>erfo<span class="_ _3"></span>rmance<span class="_ _9"> </span>and<span class="_ _9"> </span>T<span class="_ _8"></span>echnological<span class="_ _9"> </span>Progress</div><div class="t m0 x7 h9 yc ff5 fs5 fc0 sc0 ls0 ws0">5/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">P<span class="_ _3"></span>erfo<span class="_ _3"></span>rmance<span class="_ _9"> </span>and<span class="_ _9"> </span>T<span class="_ _8"></span>echnological<span class="_ _9"> </span>Progress</div><div class="t m0 x7 h9 yc ff5 fs5 fc0 sc0 ls0 ws0">6/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Mo<span class="_ _b"></span>o<span class="_ _3"></span>re’s<span class="_ _9"> </span>La<span class="_ _3"></span>w<span class="_ _e"> </span>1/2</div><div class="t m0 x9 h5 y24 ff3 fs3 fc0 sc0 ls0 ws0">“The<span class="_ _7"> </span>numb<span class="_ _b"></span>er<span class="_ _7"> </span>of<span class="_ _9"> </span>transisto<span class="_ _3"></span>rs<span class="_ _9"> </span>inco<span class="_ _3"></span>rp<span class="_ _b"></span>o<span class="_ _3"></span>rated<span class="_ _9"> </span>in<span class="_ _7"> </span>a<span class="_ _9"> </span>chip<span class="_ _7"> </span>will<span class="_ _9"> </span>app<span class="_ _3"></span>roximately</div><div class="t m0 x6 h5 y25 ff3 fs3 fc0 sc0 ls0 ws0">double<span class="_ _7"> </span>every<span class="_ _f"> </span>24<span class="_ _f"> </span>months.<span class="_ _5"></span>”<span class="_ _d"> </span><span class="ff7 fs4">(40%<span class="_ _c"> </span>p<span class="_ _b"></span>er<span class="_ _c"> </span>y<span class="_ _3"></span>ea<span class="_ _3"></span>r)</span></div><div class="t m0 xa ha y26 ff8 fs3 fc0 sc0 ls0 ws0">Go<span class="_ _3"></span>rdon<span class="_ _9"> </span>Mo<span class="_ _b"></span>o<span class="_ _3"></span>re<span class="ff3">,<span class="_ _7"> </span>Intel<span class="_ _f"> </span>co-founder</span></div><div class="t m0 x7 h9 yc ff5 fs5 fc0 sc0 ls0 ws0">7/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Mo<span class="_ _b"></span>o<span class="_ _3"></span>re’s<span class="_ _9"> </span>La<span class="_ _3"></span>w<span class="_ _e"> </span>2/2</div><div class="t m0 x1 hb y27 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span>Moore’s<span class="_ _c"> </span>Law<span class="_ _c"> </span>is<span class="_ _f"> </span>not<span class="_ _f"> </span>(y<span class="_ _3"></span>et)<span class="_ _f"> </span>dead,<span class="_ _f"> </span>but<span class="_ _c"> </span>the<span class="_ _f"> </span>same<span class="_ _f"> </span>concept<span class="_ _c"> </span>is<span class="_ _f"> </span>not<span class="_ _f"> </span>true<span class="_ _c"> </span>for<span class="_ _c"> </span><span class="ff7">clo<span class="_ _b"></span>ck</span></div><div class="t m0 x1 hb y28 ff7 fs6 fc0 sc0 ls0 ws0">frequency<span class="ff4">,<span class="_ _f"> </span></span>single-thread<span class="_ _c"> </span>p<span class="_ _b"></span>erfo<span class="_ _3"></span>rmance<span class="ff4">,<span class="_ _f"> </span></span>p<span class="_ _b"></span>o<span class="_ _3"></span>wer<span class="_ _c"> </span>consumption<span class="ff4">,<span class="_ _f"> </span>and<span class="_ _c"> </span></span>cost</div><div class="t m0 x7 h9 yc ff5 fs5 fc0 sc0 ls0 ws0">8/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Single-Thread<span class="_ _9"> </span>P<span class="_ _3"></span>erfo<span class="_ _3"></span>rmance<span class="_ _9"> </span>T<span class="_ _8"></span>rend</div><div class="t m0 x7 h9 yc ff5 fs5 fc0 sc0 ls0 ws0">9/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Mo<span class="_ _b"></span>o<span class="_ _3"></span>re’s<span class="_ _9"> </span>La<span class="_ _3"></span>w<span class="_ _9"> </span>Limitations<span class="_ _10"> </span>1/3</div><div class="t m0 x1 hb y29 ff7 fs6 fc0 sc0 ls0 ws0">Higher<span class="_ _f"> </span>performance<span class="_ _c"> </span>over<span class="_ _f"> </span>time<span class="_ _f"> </span>is<span class="_ _c"> </span>not<span class="_ _f"> </span>merely<span class="_ _f"> </span>dictated<span class="_ _f"> </span>b<span class="_ _3"></span>y<span class="_ _f"> </span>the<span class="_ _c"> </span>numb<span class="_ _b"></span>er<span class="_ _f"> </span>of<span class="_ _c"> </span>transistors<span class="ff4">.</span></div><div class="t m0 x1 hb y2a ff4 fs6 fc0 sc0 ls0 ws0">Sp<span class="_ _b"></span>ecific<span class="_ _c"> </span>hardw<span class="_ _3"></span>a<span class="_ _3"></span>re<span class="_ _f"> </span>improvements,<span class="_ _c"> </span>softw<span class="_ _3"></span>a<span class="_ _3"></span>re<span class="_ _f"> </span>engineering,<span class="_ _f"> </span>and<span class="_ _c"> </span>algorithms<span class="_ _c"> </span>play<span class="_ _c"> </span>a<span class="_ _f"> </span>crucial</div><div class="t m0 x1 hb y2b ff4 fs6 fc0 sc0 ls0 ws0">rule<span class="_ _f"> </span>in<span class="_ _c"> </span>driving<span class="_ _f"> </span>the<span class="_ _f"> </span>computer<span class="_ _c"> </span>p<span class="_ _b"></span>erformance.</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">10/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Mo<span class="_ _b"></span>o<span class="_ _3"></span>re’s<span class="_ _9"> </span>La<span class="_ _3"></span>w<span class="_ _9"> </span>Limitations<span class="_ _9"> </span>-<span class="_ _9"> </span>Some<span class="_ _9"> </span>Examples<span class="_ _11"> </span>2/3</div><div class="t m0 x1 hb y2c ff1 fs6 fc0 sc0 ls0 ws0">Sp<span class="_ _b"></span>ecialized<span class="_ _f"> </span>Hardw<span class="_ _3"></span>a<span class="_ _3"></span>re</div><div class="t m0 x9 hb y2d ff7 fs6 fc0 sc0 ls0 ws0">Reduced<span class="_ _f"> </span>precision,<span class="_ _f"> </span>matrix<span class="_ _f"> </span>multiplication<span class="_ _f"> </span>engine,<span class="_ _7"> </span>and<span class="_ _f"> </span>sparsit<span class="_ _3"></span>y<span class="_ _f"> </span>provided<span class="_ _f"> </span>o<span class="_ _3"></span>rders</div><div class="t m0 x6 hb y2e ff7 fs6 fc0 sc0 ls0 ws0">of<span class="_ _f"> </span>magnitude<span class="_ _c"> </span>p<span class="_ _b"></span>erfo<span class="_ _3"></span>rmance<span class="_ _f"> </span>improvement<span class="_ _c"> </span>for<span class="_ _c"> </span>AI<span class="_ _f"> </span>applications</div><div class="t m0 x1 hc y2f ff8 fs6 fc0 sc0 ls0 ws0">F<span class="_ _3"></span>orget<span class="_ _f"> </span>Mo<span class="_ _b"></span>o<span class="_ _3"></span>re’s<span class="_ _7"> </span>La<span class="_ _3"></span>w.<span class="_ _6"> </span>Algorithms<span class="_ _f"> </span>drive<span class="_ _f"> </span>technology<span class="_ _7"> </span>forw<span class="_ _3"></span>a<span class="_ _3"></span>rd</div><div class="t m0 x9 h6 y30 ff7 fs4 fc0 sc0 ls0 ws0">“Algo<span class="_ _3"></span>rithmic<span class="_ _7"> </span>improvements<span class="_ _f"> </span>mak<span class="_ _3"></span>e<span class="_ _7"> </span>more<span class="_ _f"> </span>efficient<span class="_ _f"> </span>use<span class="_ _7"> </span>of<span class="_ _7"> </span>existing<span class="_ _f"> </span>resources<span class="_ _7"> </span>and<span class="_ _f"> </span>allow</div><div class="t m0 x6 h6 y31 ff7 fs4 fc0 sc0 ls0 ws0">computers<span class="_ _7"> </span>to<span class="_ _7"> </span>do<span class="_ _7"> </span>a<span class="_ _7"> </span>task<span class="_ _7"> </span>faster,<span class="_ _9"> </span>cheap<span class="_ _b"></span>er,<span class="_ _7"> </span>or<span class="_ _f"> </span>b<span class="_ _b"></span>oth.<span class="_ _12"> </span>Think<span class="_ _7"> </span>of<span class="_ _7"> </span>how<span class="_ _f"> </span>easy<span class="_ _7"> </span>the<span class="_ _7"> </span>smaller<span class="_ _7"> </span>MP3</div><div class="t m0 x6 h6 y32 ff7 fs4 fc0 sc0 ls0 ws0">fo<span class="_ _3"></span>rmat<span class="_ _13"> </span>made<span class="_ _13"> </span>music<span class="_ _14"> </span>sto<span class="_ _3"></span>rage<span class="_ _13"> </span>and<span class="_ _14"> </span>transfer.<span class="_ _9"> </span>That<span class="_ _14"> </span>compression<span class="_ _14"> </span>was<span class="_ _14"> </span>b<span class="_ _b"></span>ecause<span class="_ _14"> </span>of<span class="_ _13"> </span>an<span class="_ _14"> </span>algorithm.<span class="_ _5"></span>”</div><div class="t m0 xc hd y33 ff9 fs7 fc3 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ffa">There’s<span class="_ _15"> </span>plenty<span class="_ _15"> </span>of<span class="_ _15"> </span>room<span class="_ _15"> </span>at<span class="_ _9"> </span>the<span class="_ _15"> </span>Top:<span class="_ _16"> </span>What<span class="_ _15"> </span>will<span class="_ _15"> </span>drive<span class="_ _15"> </span>computer<span class="_ _9"> </span>performance<span class="_ _15"> </span>after</span></div><div class="t m0 x6 he y34 ffa fs7 fc3 sc0 ls0 ws0">Moore’s<span class="_ _15"> </span>law?</div><div class="t m0 xc hd y35 ff9 fs7 fc3 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ffa">Forget<span class="_ _15"> </span>Moore’s<span class="_ _15"> </span>Law</span></div><div class="t m0 xc hd y36 ff9 fs7 fc3 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ffa">Heeding<span class="_ _15"> </span>Huang’s<span class="_ _15"> </span>Law</span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">11/65</div><a class="l" href="https://www.science.org/doi/epdf/10.1126/science.aam9744"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:38.082000px;width:377.025000px;height:9.365000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://www.science.org/doi/epdf/10.1126/science.aam9744"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:27.472000px;width:58.481000px;height:7.373000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://stackoverflow.blog/2021/03/24/forget-moores-law-algorithms-drive-technology-forward/"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:12.877000px;width:86.725000px;height:9.365000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://blogs.nvidia.com/blog/2023/09/29/huangs-law-dally-hot-chips/"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:0.274000px;width:91.432000px;height:9.365000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pfe" class="pf w0 h0" data-page-no="e"><div class="pc pce w0 h0"><img class="bi x0 y0 w1 h1" alt="" 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class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Mo<span class="_ _b"></span>o<span class="_ _3"></span>re’s<span class="_ _9"> </span>La<span class="_ _3"></span>w<span class="_ _9"> </span>Limitations<span class="_ _9"> </span>-<span class="_ _9"> </span>Some<span class="_ _9"> </span>Examples<span class="_ _11"> </span>3/3</div><div class="t m0 x1 hb y37 ff4 fs6 fc0 sc0 ls0 ws0">P<span class="_ _3"></span>oisson’s<span class="_ _f"> </span>equation<span class="_ _f"> </span>solver<span class="_ _c"> </span>on<span class="_ _f"> </span>a<span class="_ _f"> </span>cub<span class="_ _b"></span>e<span class="_ _c"> </span>of<span class="_ _f"> </span>size<span class="_ _f"> </span><span class="ff7">N<span class="_ _f"> </span><span class="ffb">=<span class="_ _13"> </span></span>n</span></div><div class="t m0 xd h9 y38 ff5 fs5 fc0 sc0 ls0 ws0">3</div><div class="t m0 x9 h6 y39 ff1 fs4 fc0 sc0 ls0 ws0">Y<span class="_ _8"></span>ear<span class="_ _17"> </span>Metho<span class="_ _b"></span>d<span class="_ _18"> </span>Reference<span class="_ _19"> </span>Sto<span class="_ _3"></span>rage<span class="_ _1a"> </span>Complexit<span class="_ _3"></span>y</div><div class="t m0 x9 h6 y3a ff4 fs4 fc0 sc0 ls0 ws0">1947<span class="_ _1a"> </span>GE<span class="_ _c"> </span>(banded)<span class="_ _1b"> </span>V<span class="_ _3"></span>on<span class="_ _c"> </span>Neumann<span class="_ _c"> </span>&<span class="_ _c"> </span>Goldstine<span class="_ _1c"> </span><span class="ff7">n</span></div><div class="t m0 xe hf y3b ff5 fs8 fc0 sc0 ls0 ws0">5</div><div class="t m0 xf h10 y3a ffc fs4 fc0 sc0 ls0 ws0">→<span class="_ _13"> </span><span class="ff8">n</span></div><div class="t m0 x10 hf y3b ff1 fs8 fc0 sc0 ls0 ws0">7</div><div class="t m0 x9 h6 y3c ff4 fs4 fc0 sc0 ls0 ws0">1950<span class="_ _1a"> </span>Optimal<span class="_ _c"> </span>SOR<span class="_ _1a"> </span>Reid<span class="_ _1d"> </span><span class="ff7">n</span></div><div class="t m0 xe hf y3d ff5 fs8 fc0 sc0 ls0 ws0">3</div><div class="t m0 x11 h6 y3c ff7 fs4 fc0 sc0 ls0 ws0">n</div><div class="t m0 x12 hf y3d ff5 fs8 fc0 sc0 ls0 ws0">4</div><div class="t m0 x13 h6 y3c ff7 fs4 fc0 sc0 ls0 ws0">log<span class="_ _14"> </span>n</div><div class="t m0 x9 h6 y3e ff4 fs4 fc0 sc0 ls0 ws0">1971<span class="_ _1a"> </span>CG<span class="_ _1e"> </span>Y<span class="_ _1f"></span>oung<span class="_ _20"> </span><span class="ff7">n</span></div><div class="t m0 xe hf y3f ff5 fs8 fc0 sc0 ls0 ws0">3</div><div class="t m0 x14 h6 y3e ff7 fs4 fc0 sc0 ls0 ws0">n</div><div class="t m0 x15 hf y3f ff5 fs8 fc0 sc0 ls0 ws0">3<span class="ffd">.</span>5</div><div class="t m0 x16 h6 y3e ff7 fs4 fc0 sc0 ls0 ws0">log<span class="_ _14"> </span>n</div><div class="t m0 x9 h6 y40 ff4 fs4 fc0 sc0 ls0 ws0">1984<span class="_ _1a"> </span>MG<span class="_ _21"> </span>Brandt<span class="_ _22"> </span><span class="ff7">n</span></div><div class="t m0 xe hf y41 ff5 fs8 fc0 sc0 ls0 ws0">3</div><div class="t m0 xf h10 y40 ffc fs4 fc0 sc0 ls0 ws0">→<span class="_ _13"> </span><span class="ff8">n</span></div><div class="t m0 x10 hf y41 ff1 fs8 fc0 sc0 ls0 ws0">3</div><div class="t m0 x17 he y42 ffa fs7 fc3 sc0 ls0 ws0">Tile<span class="_ _15"> </span>Low-rank<span class="_ _15"> </span>Methods<span class="_ _15"> </span>and<span class="_ _9"> </span>Applications,<span class="_ _15"> </span>David<span class="_ _15"> </span>Keyes</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">12/65</div><a class="l" href="https://scholarworks.uark.edu/cgi/viewcontent.cgi?article=1002&context=mascsls"><div class="d m1" style="border-style:none;position:absolute;left:34.722000px;bottom:21.966000px;width:242.067000px;height:13.444000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pff" class="pf w0 h0" data-page-no="f"><div class="pc pcf w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Reasons<span class="_ _9"> </span>fo<span class="_ _3"></span>r<span class="_ _9"> </span>Optimizing</div><div class="t m0 x17 hb y43 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">In<span class="_ _f"> </span>the<span class="_ _c"> </span>first<span class="_ _f"> </span>decades,<span class="_ _f"> </span>the<span class="_ _c"> </span><span class="ff7">computer<span class="_ _f"> </span>p<span class="_ _b"></span>erfo<span class="_ _3"></span>rmance<span class="_ _f"> </span>w<span class="_ _3"></span>as<span class="_ _f"> </span>extremely<span class="_ _f"> </span>limited<span class="ff4">.<span class="_ _15"> </span>Low-level</span></span></span></div><div class="t m0 x6 hb y44 ff4 fs6 fc0 sc0 ls0 ws0">optimizations<span class="_ _f"> </span>w<span class="_ _3"></span>ere<span class="_ _f"> </span>essential<span class="_ _c"> </span>to<span class="_ _f"> </span>fully<span class="_ _f"> </span>exploit<span class="_ _f"> </span>the<span class="_ _c"> </span>hardw<span class="_ _3"></span>a<span class="_ _3"></span>re</div><div class="t m0 x17 hb y45 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">Mo<span class="_ _b"></span>dern<span class="_ _c"> </span>systems<span class="_ _f"> </span>provid<span class="_ _3"></span>e<span class="_ _f"> </span>much<span class="_ _f"> </span>higher<span class="_ _f"> </span>performance,<span class="_ _c"> </span>but<span class="_ _f"> </span><span class="ff7">w<span class="_ _3"></span>e<span class="_ _f"> </span>cannot<span class="_ _f"> </span>mo<span class="_ _3"></span>re<span class="_ _f"> </span>rely<span class="_ _f"> </span>on</span></span></div><div class="t m0 x6 hb y46 ff7 fs6 fc0 sc0 ls0 ws0">ha<span class="_ _3"></span>rdwa<span class="_ _3"></span>re<span class="_ _f"> </span>imp<span class="_ _3"></span>rovement<span class="_ _9"> </span><span class="ff4">on<span class="_ _f"> </span>shor<span class="_ _3"></span>t-p<span class="_ _b"></span>erio<span class="_ _b"></span>d</span></div><div class="t m0 x17 hb y47 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">P<span class="_ _3"></span>erformance<span class="_ _c"> </span>and<span class="_ _f"> </span>efficiency<span class="_ _f"> </span>add<span class="_ _c"> </span>mark<span class="_ _3"></span>et<span class="_ _f"> </span>value<span class="_ _f"> </span>(fast<span class="_ _c"> </span>program<span class="_ _c"> </span>for<span class="_ _c"> </span>a<span class="_ _f"> </span>given<span class="_ _f"> </span>task),<span class="_ _c"> </span>e.g.</span></div><div class="t m0 x6 hb y48 ff4 fs6 fc0 sc0 ls0 ws0">sea<span class="_ _3"></span>rch,<span class="_ _f"> </span>page<span class="_ _f"> </span>loading,<span class="_ _c"> </span>etc.</div><div class="t m0 x17 hb y49 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">Optimized<span class="_ _f"> </span>code<span class="_ _f"> </span>uses<span class="_ _f"> </span>less<span class="_ _f"> </span>resources,<span class="_ _c"> </span>e.g.<span class="_ _15"> </span>in<span class="_ _f"> </span>a<span class="_ _f"> </span>p<span class="_ _3"></span>rogram<span class="_ _f"> </span>that<span class="_ _f"> </span>runs<span class="_ _c"> </span>on<span class="_ _f"> </span>a<span class="_ _f"> </span>server<span class="_ _f"> </span>fo<span class="_ _3"></span>r</span></div><div class="t m0 x6 hb y4a ff4 fs6 fc0 sc0 ls0 ws0">months<span class="_ _f"> </span>o<span class="_ _3"></span>r<span class="_ _f"> </span>y<span class="_ _3"></span>ears,<span class="_ _c"> </span>a<span class="_ _f"> </span>small<span class="_ _f"> </span>reduction<span class="_ _c"> </span>in<span class="_ _f"> </span>the<span class="_ _f"> </span>execution<span class="_ _c"> </span>time/p<span class="_ _b"></span>o<span class="_ _3"></span>wer<span class="_ _c"> </span>consumption</div><div class="t m0 x6 hb y4b ff4 fs6 fc0 sc0 ls0 ws0">translates<span class="_ _f"> </span>in<span class="_ _c"> </span>a<span class="_ _f"> </span>big<span class="_ _f"> </span>saving<span class="_ _c"> </span>of<span class="_ _f"> </span>p<span class="_ _b"></span>o<span class="_ _3"></span>wer<span class="_ _c"> </span>consumption</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">13/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Soft<span class="_ _3"></span>w<span class="_ _3"></span>are<span class="_ _7"> </span>Optimization<span class="_ _9"> </span>is<span class="_ _9"> </span>Complex</div><div class="t m0 x18 hd y4c fff fs7 fc0 sc0 ls0 ws0">from<span class="_ _13"> </span><span class="ff10">”Sp<span class="_ _b"></span>eed<span class="_ _c"> </span>is<span class="_ _13"> </span>F<span class="_ _3"></span>ound<span class="_ _c"> </span>in<span class="_ _13"> </span>the<span class="_ _c"> </span>Minds<span class="_ _13"> </span>of<span class="_ _c"> </span>P<span class="_ _3"></span>eople“<span class="fff">,</span></span></div><div class="t m0 x19 hd y4d ff1 fs7 fc0 sc0 ls0 ws0">Andrei<span class="_ _c"> </span>Alexandrescu<span class="fff">,<span class="_ _13"> </span>CppCon<span class="_ _c"> </span>2019</span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">14/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Optimization<span class="_ _9"> </span>Bo<span class="_ _b"></span>oks</div><div class="t m0 x1a hd y4e ff1 fs7 fc0 sc0 ls0 ws0">Hack<span class="_ _3"></span>er’s<span class="_ _c"> </span>Delight<span class="_ _c"> </span><span class="fff">(2nd)</span></div><div class="t m0 x1b hd y4f ff10 fs7 fc0 sc0 ls0 ws0">H.<span class="_ _13"> </span>S.<span class="_ _c"> </span>W<span class="_ _3"></span>arren<span class="fff">,<span class="_ _13"> </span>2016</span></div><div class="t m0 x1c hd y50 ff1 fs7 fc0 sc0 ls0 ws0">Optimized<span class="_ _c"> </span>C++</div><div class="t m0 x1d hd y51 ff10 fs7 fc0 sc0 ls0 ws0">K.<span class="_ _13"> </span>Guntheroth<span class="fff">,<span class="_ _c"> </span>2014</span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">15/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf12" class="pf w0 h0" data-page-no="12"><div class="pc pc12 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">References</div><div class="t m0 x17 hb y52 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff11">Awesome<span class="_ _23"> </span>C/C++<span class="_ _23"> </span>performance<span class="_ _23"> </span>optimization<span class="_ _6"> </span>resources<span class="ff4">,<span class="_ _f"> </span><span class="ff7">Bartlomiej<span class="_ _c"> </span>Filip<span class="_ _b"></span>ek</span></span></span></div><div class="t m0 x17 hb y53 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff11">Optimizing<span class="_ _23"> </span>C++<span class="ff4">,<span class="_ _f"> </span><span class="ff7">wikibo<span class="_ _b"></span>ok</span></span></span></div><div class="t m0 x17 hb y54 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff11">Optimizing<span class="_ _23"> </span>software<span class="_ _23"> </span>in<span class="_ _23"> </span>C++<span class="ff4">,<span class="_ _c"> </span><span class="ff7">Agner<span class="_ _f"> </span>Fog</span></span></span></div><div class="t m0 x17 hb y55 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff11">Algorithmica:<span class="_ _24"> </span>Algorithms<span class="_ _23"> </span>for<span class="_ _23"> </span>Modern<span class="_ _6"> </span>Hardware</span></div><div class="t m0 x17 hb y56 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff11">What<span class="_ _23"> </span>scientists<span class="_ _23"> </span>must<span class="_ _23"> </span>know<span class="_ _6"> </span>about<span class="_ _23"> </span>hardware<span class="_ _23"> </span>to<span class="_ _23"> </span>write<span class="_ _23"> </span>fast<span class="_ _23"> </span>code</span></div><div class="t m0 x17 hd y57 fff fs7 fc3 sc0 ls0 ws0">Figure<span class="_ _13"> </span>references</div><div class="t m0 xc hd y58 ff9 fs7 fc3 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ffa">A<span class="_ _15"> </span>Look<span class="_ _15"> </span>Back<span class="_ _15"> </span>at<span class="_ _15"> </span>Single-Threaded<span class="_ _9"> </span>CPU<span class="_ _15"> </span>Performance</span></div><div class="t m0 xc hd y59 ff9 fs7 fc3 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ffa">Herb<span class="_ _15"> </span>Sutter,<span class="_ _15"> </span>The<span class="_ _15"> </span>Free<span class="_ _15"> </span>Lunch<span class="_ _9"> </span>Is<span class="_ _15"> </span>Over</span></div><div class="t m0 xc hd y5a ff9 fs7 fc3 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ffa">Genomic<span class="_ _15"> </span>Analysis<span class="_ _15"> </span>at<span class="_ _15"> </span>Scale:<span class="_ _25"> </span>Mapping<span class="_ _15"> </span>Irregular<span class="_ _15"> </span>Computations<span class="_ _15"> </span>to<span class="_ _9"> </span>Advanced</span></div><div class="t m0 x6 he y5b ffa fs7 fc3 sc0 ls0 ws0">Architectures</div><div class="t m0 xc hd y5c ff9 fs7 fc3 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ffa">microprocessor-trend-data</span></div><div class="t m0 xc hd y5d ff9 fs7 fc3 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ffa">What<span class="_ _15"> </span>is<span class="_ _15"> </span>Moore’s<span class="_ _15"> </span>Law?</span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">16/65</div><a class="l" href="https://github.com/fenbf/AwesomePerfCpp"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:203.317000px;width:276.901000px;height:11.931000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://en.wikibooks.org/wiki/Optimizing_C%2B%2B"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:181.758000px;width:82.175000px;height:11.931000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://www.agner.org/optimize/optimizing_cpp.pdf"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:160.199000px;width:150.902000px;height:11.931000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://en.algorithmica.org/hpc/"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:138.640000px;width:259.719000px;height:10.895000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://biojulia.dev/post/hardware/"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:119.443000px;width:339.901000px;height:8.533000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://preshing.com/20120208/a-look-back-at-single-threaded-cpu-performance/"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:74.761000px;width:218.531000px;height:9.365000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="http://www.gotw.ca/publications/concurrency-ddj.htm"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:61.908000px;width:166.750000px;height:8.619000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://www.nvidia.com/en-us/on-demand/session/gtc24-s62341/"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:47.563000px;width:377.025000px;height:9.365000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://www.nvidia.com/en-us/on-demand/session/gtc24-s62341/"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:36.953000px;width:63.188000px;height:7.373000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://github.com/karlrupp/microprocessor-trend-data"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:21.361000px;width:119.676000px;height:9.366000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://ourworldindata.org/moores-law"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:9.755000px;width:96.140000px;height:7.373000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf13" class="pf w0 h0" data-page-no="13"><div class="pc pc13 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x8 h2 y23 ff1 fs0 fc0 sc0 ls0 ws0">Basic<span class="_ _1"> </span>Concepts</div><a class="l" href="#pf13" data-dest-detail='[19,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:132.432000px;width:175.302000px;height:24.026000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf14" class="pf w0 h0" data-page-no="14"><div class="pc pc14 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA4wAAAH/CAIAAACTgcSzAAAACXBIWXMAABYlAAAWJQFJUiTwAAAIXklEQVR42u3YsQ2CQBiG4TvDhdIZCJUTGENt4mYu4TgUDMEGVpRec3bM8EOeZ4SvevPl8T4lAAAIY13mixUAAIhGpAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAsMu1VisAABBHKcWTCgBAOCIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRagIAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACLVBAAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAADn0W3vwQoc3ff5MQIAnMbt8cr52rftl1JrzSAAAITwByQ0FAQ/E5HHAAAAAElFTkSuQmCC"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Asymptotic<span class="_ _9"> </span>Complexit<span class="_ _3"></span>y<span class="_ _26"> </span>1/2</div><div class="t m0 x1 hb y37 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span><span class="ff1">asymptotic<span class="_ _f"> </span>analysis<span class="_ _f"> </span></span>refers<span class="_ _f"> </span>to<span class="_ _c"> </span>estimate<span class="_ _f"> </span>the<span class="_ _f"> </span>execution<span class="_ _c"> </span>time<span class="_ _f"> </span>or<span class="_ _c"> </span>memory<span class="_ _c"> </span>usage<span class="_ _f"> </span>as</div><div class="t m0 x1 hb y5e ff4 fs6 fc0 sc0 ls0 ws0">function<span class="_ _f"> </span>of<span class="_ _c"> </span>the<span class="_ _f"> </span>input<span class="_ _f"> </span>size<span class="_ _c"> </span>(the<span class="_ _f"> </span><span class="ff7">order<span class="_ _c"> </span>of<span class="_ _f"> </span>gro<span class="_ _3"></span>wing<span class="_ _27"></span><span class="ff4">)</span></span></div><div class="t m0 x1 hb y5f ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span><span class="ff7">asymptotic<span class="_ _c"> </span>b<span class="_ _b"></span>ehavio<span class="_ _3"></span>r<span class="_ _d"> </span><span class="ff4">is<span class="_ _c"> </span>opp<span class="_ _b"></span>osed<span class="_ _f"> </span>to<span class="_ _f"> </span>a<span class="_ _c"> </span></span>low-level<span class="_ _c"> </span>analysis<span class="_ _9"> </span><span class="ff4">of<span class="_ _f"> </span>the<span class="_ _f"> </span>co<span class="_ _b"></span>de</span></span></div><div class="t m0 x1 hb y60 ff4 fs6 fc0 sc0 ls0 ws0">(instruction/lo<span class="_ _b"></span>op<span class="_ _c"> </span>counting/weighting,<span class="_ _c"> </span>cache<span class="_ _f"> </span>accesses,<span class="_ _f"> </span>etc.)</div><div class="t m0 x1 hb y61 ff1 fs6 fc0 sc0 ls0 ws0">Dra<span class="_ _3"></span>wbacks<span class="ff4">:</span></div><div class="t m0 x17 hb y62 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">The<span class="_ _f"> </span><span class="ff7">w<span class="_ _3"></span>orst-case<span class="_ _f"> </span><span class="ff4">is<span class="_ _f"> </span>not<span class="_ _f"> </span>the<span class="_ _f"> </span></span>average-case</span></span></div><div class="t m0 x17 hb y63 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">Asymptotic<span class="_ _f"> </span>complexit<span class="_ _3"></span>y<span class="_ _f"> </span>do<span class="_ _b"></span>es<span class="_ _c"> </span>not<span class="_ _f"> </span>consider<span class="_ _f"> </span>small<span class="_ _c"> </span>inputs<span class="_ _f"> </span>(think<span class="_ _f"> </span>to<span class="_ _c"> </span><span class="ff7">insertion<span class="_ _f"> </span>sort<span class="_ _b"></span></span>)</span></div><div class="t m0 x17 hb y64 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">The<span class="_ _f"> </span>hidden<span class="_ _c"> </span>constant<span class="_ _f"> </span>can<span class="_ _f"> </span>b<span class="_ _b"></span>e<span class="_ _c"> </span>relevant<span class="_ _f"> </span>in<span class="_ _f"> </span>p<span class="_ _3"></span>ractice</span></div><div class="t m0 x17 hb y65 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">Asymptotic<span class="_ _f"> </span>complexit<span class="_ _3"></span>y<span class="_ _f"> </span>do<span class="_ _b"></span>es<span class="_ _c"> </span>not<span class="_ _f"> </span>consider<span class="_ _f"> </span>instructions<span class="_ _c"> </span>cost<span class="_ _f"> </span>and<span class="_ _f"> </span>ha<span class="_ _3"></span>rdwa<span class="_ _3"></span>re<span class="_ _c"> </span>details</span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">17/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf15" class="pf w0 h0" data-page-no="15"><div class="pc pc15 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Asymptotic<span class="_ _9"> </span>Complexit<span class="_ _3"></span>y<span class="_ _26"> </span>2/2</div><div class="t m0 x1 hb y66 ff4 fs6 fc0 sc0 ls0 ws0">Be<span class="_ _f"> </span>a<span class="_ _3"></span>wa<span class="_ _3"></span>re<span class="_ _c"> </span>that<span class="_ _f"> </span>only<span class="_ _f"> </span><span class="ff1">real-wo<span class="_ _3"></span>rld<span class="_ _f"> </span>problems<span class="_ _c"> </span><span class="ff4">with<span class="_ _f"> </span>a<span class="_ _f"> </span>small<span class="_ _c"> </span>asymptotic<span class="_ _f"> </span>complexity<span class="_ _c"> </span>o<span class="_ _3"></span>r<span class="_ _f"> </span>small</span></span></div><div class="t m0 x1 hb y67 ff4 fs6 fc0 sc0 ls0 ws0">size<span class="_ _f"> </span>can<span class="_ _c"> </span>b<span class="_ _b"></span>e<span class="_ _f"> </span>solved<span class="_ _c"> </span>in<span class="_ _f"> </span>a<span class="_ _f"> </span><span class="ff7">“user”<span class="_ _c"> </span>acceptable<span class="_ _f"> </span>time</span></div><div class="t m0 x1 hb y68 ff4 fs6 fc0 sc0 ls0 ws0">Three<span class="_ _f"> </span>examples:</div><div class="t m0 x17 hb y69 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff7">So<span class="_ _3"></span>rting<span class="_ _27"></span><span class="ff4">:<span class="_ _15"> </span><span class="ffc">O<span class="_ _14"> </span><span class="ffb">(</span></span></span>n<span class="_ _28"> </span><span class="ffb">log<span class="_ _28"> </span></span>n<span class="_ _b"></span><span class="ffb">)<span class="ff4">,<span class="_ _c"> </span>try<span class="_ _f"> </span>to<span class="_ _f"> </span>so<span class="_ _3"></span>rt<span class="_ _f"> </span>an<span class="_ _c"> </span>arra<span class="_ _3"></span>y<span class="_ _f"> </span>of<span class="_ _f"> </span>some<span class="_ _c"> </span>billion<span class="_ _f"> </span>elements</span></span></span></div><div class="t m0 x17 hb y6a ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff7">Diameter<span class="_ _f"> </span>of<span class="_ _c"> </span>a<span class="_ _f"> </span>(sparse)<span class="_ _c"> </span>graph<span class="ff4">:<span class="_ _d"> </span><span class="ffc">O</span></span></span></div><div class="t m0 x1e h11 y6b ff12 fs4 fc0 sc0 ls0 ws0"></div><div class="t m0 x1f hb y6a ff7 fs6 fc0 sc0 ls0 ws0">V</div><div class="t m0 x20 h9 y6c ff5 fs5 fc0 sc0 ls0 ws0">2</div><div class="t m0 x21 h11 y6b ff12 fs4 fc0 sc0 ls0 ws0"></div><div class="t m0 x22 hb y6a ff4 fs6 fc0 sc0 ls0 ws0">,<span class="_ _f"> </span>just<span class="_ _c"> </span>for<span class="_ _c"> </span>graphs<span class="_ _f"> </span>with<span class="_ _f"> </span>a<span class="_ _c"> </span>few<span class="_ _f"> </span>hundred</div><div class="t m0 x6 hb y6d ff4 fs6 fc0 sc0 ls0 ws0">thousand<span class="_ _f"> </span>vertices<span class="_ _c"> </span>it<span class="_ _f"> </span>b<span class="_ _b"></span>ecomes<span class="_ _c"> </span>impractical<span class="_ _c"> </span>without<span class="_ _f"> </span>advanced<span class="_ _f"> </span>techniques</div><div class="t m0 x17 hb y6e ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff7">Matrix<span class="_ _f"> </span>multiplication<span class="ff4">:<span class="_ _15"> </span><span class="ffc">O</span></span></span></div><div class="t m0 x23 h11 y6f ff12 fs4 fc0 sc0 ls0 ws0"></div><div class="t m0 x2 hb y6e ff7 fs6 fc0 sc0 ls0 ws0">N</div><div class="t m0 x24 h9 y70 ff5 fs5 fc0 sc0 ls0 ws0">3</div><div class="t m0 x25 h11 y6f ff12 fs4 fc0 sc0 ls0 ws0"></div><div class="t m0 x26 hb y6e ff4 fs6 fc0 sc0 ls0 ws0">,<span class="_ _f"> </span>even<span class="_ _c"> </span>for<span class="_ _c"> </span>small<span class="_ _f"> </span>sizes<span class="_ _f"> </span><span class="ff7">N<span class="_ _9"> </span></span>(e.g.<span class="_ _15"> </span>8K,<span class="_ _f"> </span>16K),<span class="_ _f"> </span>it<span class="_ _c"> </span>requires</div><div class="t m0 x6 hb y71 ff4 fs6 fc0 sc0 ls0 ws0">sp<span class="_ _b"></span>ecial<span class="_ _c"> </span>accelerators<span class="_ _c"> </span>(e.g.<span class="_ _15"> </span>GPU,<span class="_ _f"> </span>TPU,<span class="_ _f"> </span>etc.)<span class="_ _15"> </span>for<span class="_ _c"> </span>achieving<span class="_ _f"> </span>acceptable<span class="_ _f"> </span>performance</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">18/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf16" class="pf w0 h0" data-page-no="16"><div class="pc pc16 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Time-Memo<span class="_ _3"></span>ry<span class="_ _9"> </span>T<span class="_ _8"></span>rade-off</div><div class="t m0 x1 hb y72 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span><span class="ff1">time-memo<span class="_ _3"></span>ry<span class="_ _7"> </span>trade-off<span class="_ _9"> </span><span class="ff4">is<span class="_ _f"> </span>a<span class="_ _c"> </span>wa<span class="_ _3"></span>y<span class="_ _f"> </span>of<span class="_ _c"> </span>solving<span class="_ _f"> </span>a<span class="_ _f"> </span>p<span class="_ _3"></span>roblem<span class="_ _f"> </span>o<span class="_ _3"></span>r<span class="_ _f"> </span>calculation<span class="_ _f"> </span>in<span class="_ _c"> </span>less<span class="_ _f"> </span>time</span></span></div><div class="t m0 x1 hb y73 ff4 fs6 fc0 sc0 ls0 ws0">b<span class="_ _3"></span>y<span class="_ _f"> </span>using<span class="_ _f"> </span>mo<span class="_ _3"></span>re<span class="_ _f"> </span>sto<span class="_ _3"></span>rage<span class="_ _f"> </span>space<span class="_ _f"> </span>(less<span class="_ _c"> </span>often<span class="_ _f"> </span>the<span class="_ _f"> </span>opp<span class="_ _b"></span>osite<span class="_ _c"> </span>direction)</div><div class="t m0 x1 hb y74 ff4 fs6 fc0 sc0 ls0 ws0">Examples:</div><div class="t m0 x17 hb y75 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff7">Memoization<span class="_ _f"> </span><span class="ff4">(e.g.<span class="_ _15"> </span>used<span class="_ _f"> </span>in<span class="_ _f"> </span>dynamic<span class="_ _c"> </span>programming):<span class="_ _15"> </span>returning<span class="_ _f"> </span>the<span class="_ _c"> </span>cached<span class="_ _f"> </span>result</span></span></div><div class="t m0 x6 hb y76 ff4 fs6 fc0 sc0 ls0 ws0">when<span class="_ _f"> </span>the<span class="_ _c"> </span>same<span class="_ _f"> </span>inputs<span class="_ _f"> </span>occur<span class="_ _f"> </span>again</div><div class="t m0 x17 hb y77 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff7">Hash<span class="_ _f"> </span>table<span class="_ _b"></span><span class="ff4">:<span class="_ _15"> </span>numb<span class="_ _b"></span>er<span class="_ _f"> </span>of<span class="_ _c"> </span>entries<span class="_ _f"> </span>vs.<span class="_ _15"> </span>efficiency</span></span></div><div class="t m0 x17 hb y78 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff7">Lo<span class="_ _b"></span>okup<span class="_ _c"> </span>tables<span class="_ _27"></span><span class="ff4">:<span class="_ _15"> </span>p<span class="_ _3"></span>recomputed<span class="_ _f"> </span>data<span class="_ _f"> </span>instead<span class="_ _c"> </span>branches</span></span></div><div class="t m0 x17 hb y79 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff7">Uncomp<span class="_ _3"></span>ressed<span class="_ _f"> </span>data<span class="_ _b"></span><span class="ff4">:<span class="_ _15"> </span>bitmap<span class="_ _f"> </span>image<span class="_ _c"> </span>vs.<span class="_ _d"> </span>jpeg</span></span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">19/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf17" class="pf w0 h0" data-page-no="17"><div class="pc pc17 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Developing<span class="_ _9"> </span>Cycle<span class="_ _29"> </span>1/3</div><div class="t m0 x6 h5 y7a ff3 fs3 fc0 sc0 ls0 ws0">“If<span class="_ _f"> </span>you’re<span class="_ _f"> </span>not<span class="_ _f"> </span>writing<span class="_ _7"> </span>a<span class="_ _f"> </span>program,<span class="_ _f"> </span>don’t<span class="_ _f"> </span>use<span class="_ _f"> </span>a<span class="_ _7"> </span>p<span class="_ _3"></span>rogramming<span class="_ _7"> </span>language”</div><div class="t m0 x27 hb y7b ff8 fs6 fc0 sc0 ls0 ws0">Leslie<span class="_ _f"> </span>Lamp<span class="_ _b"></span>ort<span class="ff7">,<span class="_ _c"> </span>T<span class="_ _1f"></span>uring<span class="_ _f"> </span>A<span class="_ _3"></span>wa<span class="_ _3"></span>rd</span></div><div class="t m0 x6 h5 y7c ff3 fs3 fc0 sc0 ls0 ws0">“First<span class="_ _f"> </span>solve<span class="_ _7"> </span>the<span class="_ _f"> </span>problem,<span class="_ _f"> </span>then<span class="_ _f"> </span>write<span class="_ _7"> </span>the<span class="_ _f"> </span>co<span class="_ _b"></span>de”</div><div class="t m0 x6 h5 y7d ff3 fs3 fc0 sc0 ls0 ws0">“Inside<span class="_ _f"> </span>every<span class="_ _7"> </span>la<span class="_ _3"></span>rge<span class="_ _7"> </span>p<span class="_ _3"></span>rogram<span class="_ _7"> </span>is<span class="_ _f"> </span>an<span class="_ _7"> </span>algo<span class="_ _3"></span>rithm<span class="_ _7"> </span>trying<span class="_ _f"> </span>to<span class="_ _7"> </span>get<span class="_ _f"> </span>out”</div><div class="t m0 x28 hb y7e ff8 fs6 fc0 sc0 ls0 ws0">T<span class="_ _8"></span>ony<span class="_ _7"> </span>Hoa<span class="_ _3"></span>re<span class="ff7">,<span class="_ _f"> </span>T<span class="_ _1f"></span>uring<span class="_ _f"> </span>A<span class="_ _3"></span>w<span class="_ _3"></span>ard</span></div><div class="t m0 x6 h5 y7f ff3 fs3 fc0 sc0 ls0 ws0">“Premature<span class="_ _f"> </span>optimization<span class="_ _7"> </span>is<span class="_ _f"> </span>the<span class="_ _7"> </span>ro<span class="_ _b"></span>ot<span class="_ _f"> </span>of<span class="_ _f"> </span>all<span class="_ _7"> </span>evil”</div><div class="t m0 x29 hb y80 ff8 fs6 fc0 sc0 ls0 ws0">Donald<span class="_ _f"> </span>Knuth<span class="ff7">,<span class="_ _f"> </span>T<span class="_ _1f"></span>uring<span class="_ _f"> </span>A<span class="_ _3"></span>wa<span class="_ _3"></span>rd</span></div><div class="t m0 x6 h5 y81 ff3 fs3 fc0 sc0 ls0 ws0">“Co<span class="_ _b"></span>de<span class="_ _f"> </span>fo<span class="_ _3"></span>r<span class="_ _7"> </span>co<span class="_ _3"></span>rrectness<span class="_ _7"> </span>first,<span class="_ _f"> </span>then<span class="_ _7"> </span>optimize!”</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">20/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf18" class="pf w0 h0" data-page-no="18"><div class="pc pc18 w0 h0"><img class="bi x0 y0 w1 h1" alt="" 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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Developing<span class="_ _9"> </span>Cycle<span class="_ _29"> </span>2/3</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">21/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf19" class="pf w0 h0" data-page-no="19"><div class="pc pc19 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Developing<span class="_ _9"> </span>Cycle<span class="_ _29"> </span>3/3</div><div class="t m0 x17 h7 y82 ff13 fs3 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff14">One<span class="_ _f"> </span>of<span class="_ _7"> </span>the<span class="_ _f"> </span>most<span class="_ _7"> </span>imp<span class="_ _b"></span>o<span class="_ _3"></span>rtant<span class="_ _f"> </span>phase<span class="_ _7"> </span>of<span class="_ _f"> </span>the<span class="_ _7"> </span>optimization<span class="_ _f"> </span>cycle<span class="_ _7"> </span>is<span class="_ _f"> </span>the</span></div><div class="t m0 x6 h7 y83 ff1 fs3 fc0 sc0 ls0 ws0">application<span class="_ _9"> </span>p<span class="_ _3"></span>rofiling<span class="_ _7"> </span><span class="ff14">for<span class="_ _f"> </span>finding<span class="_ _f"> </span>regions<span class="_ _f"> </span>of<span class="_ _7"> </span>co<span class="_ _b"></span>de<span class="_ _f"> </span>that<span class="_ _f"> </span>are<span class="_ _f"> </span><span class="ff3">critical<span class="_ _f"> </span>for</span></span></div><div class="t m0 x6 h7 y84 ff3 fs3 fc0 sc0 ls0 ws0">p<span class="_ _b"></span>erfo<span class="_ _3"></span>rmance<span class="_ _9"> </span><span class="ff14">(<span class="ff1">hotsp<span class="_ _b"></span>ot</span>)</span></div><div class="t m0 x2a h7 y85 ffc fs3 fc0 sc0 ls0 ws0">→<span class="_ _6"> </span><span class="ff14">Exp<span class="_ _b"></span>ensive<span class="_ _f"> </span>co<span class="_ _b"></span>de<span class="_ _f"> </span>region<span class="_ _f"> </span>(absolute)</span></div><div class="t m0 x2a h7 y86 ffc fs3 fc0 sc0 ls0 ws0">→<span class="_ _6"> </span><span class="ff14">Co<span class="_ _b"></span>de<span class="_ _f"> </span>regions<span class="_ _f"> </span>executed<span class="_ _7"> </span>many<span class="_ _f"> </span>times<span class="_ _7"> </span>(cumulative)</span></div><div class="t m0 x17 h7 y87 ff13 fs3 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff14">Most<span class="_ _f"> </span>of<span class="_ _7"> </span>the<span class="_ _f"> </span>time,<span class="_ _7"> </span><span class="ff1">there<span class="_ _9"> </span>is<span class="_ _9"> </span>no<span class="_ _9"> </span>the<span class="_ _9"> </span>p<span class="_ _b"></span>erfect<span class="_ _9"> </span>algo<span class="_ _3"></span>rithm<span class="_ _9"> </span>fo<span class="_ _3"></span>r<span class="_ _9"> </span>all<span class="_ _9"> </span>cases<span class="_ _7"> </span><span class="ff14">(e.g.</span></span></span></div><div class="t m0 x6 h7 y88 ff14 fs3 fc0 sc0 ls0 ws0">insertion,<span class="_ _f"> </span>merge,<span class="_ _7"> </span>radix<span class="_ _f"> </span>sort).<span class="_ _d"> </span>Optimizing<span class="_ _f"> </span>also<span class="_ _f"> </span>refers<span class="_ _7"> </span>in<span class="_ _f"> </span>finding<span class="_ _7"> </span>the<span class="_ _f"> </span>correct</div><div class="t m0 x6 h7 y89 ff14 fs3 fc0 sc0 ls0 ws0">heuristics<span class="_ _f"> </span>for<span class="_ _f"> </span>different<span class="_ _f"> </span>program<span class="_ _f"> </span>inputs/platfo<span class="_ _3"></span>rms<span class="_ _f"> </span>instead<span class="_ _7"> </span>of<span class="_ _f"> </span>mo<span class="_ _b"></span>difying<span class="_ _7"> </span>the</div><div class="t m0 x6 h7 y8a ff14 fs3 fc0 sc0 ls0 ws0">existing<span class="_ _f"> </span>co<span class="_ _b"></span>de</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">22/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Ahmdal’s<span class="_ _9"> </span>La<span class="_ _3"></span>w<span class="_ _2a"> </span>1/3</div><div class="t m0 x2b hb y8b ff1 fs6 fc1 sc0 ls0 ws0">Ahmdal’s<span class="_ _f"> </span>Law</div><div class="t m0 x2b hb y8c ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span><span class="ff1">Ahmdal’s<span class="_ _f"> </span>law<span class="_ _c"> </span></span>expresses<span class="_ _c"> </span>the<span class="_ _f"> </span>maximum<span class="_ _f"> </span>imp<span class="_ _3"></span>rovement<span class="_ _f"> </span>possible<span class="_ _f"> </span>by<span class="_ _c"> </span>improving<span class="_ _c"> </span>a</div><div class="t m0 x2b hb y8d ff4 fs6 fc0 sc0 ls0 ws0">pa<span class="_ _3"></span>rticular<span class="_ _c"> </span>part<span class="_ _c"> </span>of<span class="_ _f"> </span>a<span class="_ _f"> </span>system</div><div class="t m0 x1 hb y8e ff7 fs6 fc0 sc0 ls0 ws0">Observation:<span class="_ _d"> </span><span class="ff4">The<span class="_ _f"> </span>performance<span class="_ _c"> </span>of<span class="_ _f"> </span>any<span class="_ _f"> </span>system<span class="_ _c"> </span>is<span class="_ _f"> </span>constrained<span class="_ _f"> </span>b<span class="_ _3"></span>y<span class="_ _f"> </span>the<span class="_ _f"> </span>speed<span class="_ _f"> </span>of<span class="_ _f"> </span>the</span></div><div class="t m0 x1 hb y8f ff4 fs6 fc0 sc0 ls0 ws0">slo<span class="_ _3"></span>west<span class="_ _c"> </span>p<span class="_ _b"></span>oint</div><div class="t m0 x1 hb y90 ff7 fs6 fc0 sc0 ls0 ws0">S<span class="_ _f"> </span><span class="ffb">:<span class="_ _f"> </span><span class="ff4">imp<span class="_ _3"></span>rovement<span class="_ _f"> </span>factor<span class="_ _c"> </span>exp<span class="_ _3"></span>ressed<span class="_ _f"> </span>as<span class="_ _f"> </span>a<span class="_ _f"> </span>facto<span class="_ _3"></span>r<span class="_ _f"> </span>of<span class="_ _c"> </span><span class="ff7">P</span></span></span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">23/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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||
<div id="pf1b" class="pf w0 h0" data-page-no="1b"><div class="pc pc1b w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Ahmdal’s<span class="_ _9"> </span>La<span class="_ _3"></span>w<span class="_ _2a"> </span>2/3</div><div class="t m0 x18 hb y91 ff1 fs6 fc0 sc0 ls0 ws0">Overall<span class="_ _f"> </span>Improvement<span class="_ _13"> </span><span class="ffb">=</span></div><div class="t m0 x2c hb y92 ff4 fs6 fc0 sc0 ls0 ws0">1</div><div class="t m0 x2d hb y93 ffb fs6 fc0 sc0 ls0 ws0">(<span class="ff4 fc4">1<span class="_ _14"> </span><span class="ffc">−<span class="_ _14"> </span><span class="ff7">P<span class="_ _0"></span></span></span></span>)<span class="_ _14"> </span>+</div><div class="t m0 x2e hb y94 ff7 fs6 fc5 sc0 ls0 ws0">P</div><div class="t m0 x2e hc y95 ff8 fs6 fc5 sc0 ls0 ws0">S</div><div class="t m0 x2f h6 y96 ff1 fs4 fc0 sc0 ls0 ws0">P<span class="_ _f"> </span>\<span class="_ _c"> </span>S<span class="_ _2b"> </span>25%<span class="_ _2c"> </span>50%<span class="_ _2c"> </span>75%<span class="_ _2d"> </span>2x<span class="_ _2e"> </span>3x<span class="_ _2e"> </span>4x<span class="_ _2e"> </span>5x<span class="_ _2f"> </span>10x<span class="_ _30"> </span><span class="ff15 fc5">∞</span></div><div class="t m0 x30 h6 y97 ff11 fs4 fc0 sc0 ls0 ws0">10%<span class="_ _31"> </span><span class="ff4">1.02x<span class="_ _1a"> </span>1.03x<span class="_ _32"> </span>1.04x<span class="_ _32"> </span>1.05x<span class="_ _1a"> </span>1.07x<span class="_ _32"> </span>1.08x<span class="_ _1a"> </span>1.09x<span class="_ _32"> </span>1.10x<span class="_ _31"> </span>1.11x</span></div><div class="t m0 x30 h6 y98 ff11 fs4 fc0 sc0 ls0 ws0">20%<span class="_ _31"> </span><span class="ff4">1.04x<span class="_ _32"> </span>1.07x<span class="_ _1a"> </span>1.09x<span class="_ _32"> </span>1.11x<span class="_ _1a"> </span>1.15x<span class="_ _32"> </span>1.18x<span class="_ _1a"> </span>1.19x<span class="_ _32"> </span>1.22x<span class="_ _31"> </span>1.25x</span></div><div class="t m0 x30 h6 y99 ff11 fs4 fc0 sc0 ls0 ws0">30%<span class="_ _31"> </span><span class="ff4">1.06x<span class="_ _32"> </span>1.11x<span class="_ _1a"> </span>1.15x<span class="_ _32"> </span>1.18x<span class="_ _1a"> </span>1.25x<span class="_ _32"> </span>1.29x<span class="_ _1a"> </span>1.31x<span class="_ _32"> </span>1.37x<span class="_ _31"> </span>1.49x</span></div><div class="t m0 x30 h6 y9a ff11 fs4 fc0 sc0 ls0 ws0">40%<span class="_ _31"> </span><span class="ff4">1.09x<span class="_ _32"> </span>1.15x<span class="_ _1a"> </span>1.20x<span class="_ _32"> </span>1.25x<span class="_ _1a"> </span>1.36x<span class="_ _32"> </span>1.43x<span class="_ _1a"> </span>1.47x<span class="_ _32"> </span>1.56x<span class="_ _31"> </span>1.67x</span></div><div class="t m0 x30 h6 y9b ff11 fs4 fc0 sc0 ls0 ws0">50%<span class="_ _31"> </span><span class="ff4">1.11x<span class="_ _32"> </span>1.20x<span class="_ _1a"> </span>1.27x<span class="_ _32"> </span>1.33x<span class="_ _1a"> </span>1.50x<span class="_ _32"> </span>1.60x<span class="_ _1a"> </span>1.66x<span class="_ _32"> </span>1.82x<span class="_ _31"> </span>2.00x</span></div><div class="t m0 x30 h6 y9c ff11 fs4 fc0 sc0 ls0 ws0">60%<span class="_ _31"> </span><span class="ff4">1.37x<span class="_ _32"> </span>1.25x<span class="_ _1a"> </span>1.35x<span class="_ _32"> </span>1.43x<span class="_ _1a"> </span>1.67x<span class="_ _32"> </span>1.82x<span class="_ _1a"> </span>1.92x<span class="_ _32"> </span>2.17x<span class="_ _31"> </span>2.50x</span></div><div class="t m0 x30 h6 y9d ff11 fs4 fc0 sc0 ls0 ws0">70%<span class="_ _31"> </span><span class="ff4">1.16x<span class="_ _32"> </span>1.30x<span class="_ _1a"> </span>1.43x<span class="_ _32"> </span>1.54x<span class="_ _1a"> </span>1.88x<span class="_ _32"> </span>2.10x<span class="_ _1a"> </span>2.27x<span class="_ _32"> </span>2.70x<span class="_ _31"> </span>3.33x</span></div><div class="t m0 x30 h6 y9e ff11 fs4 fc0 sc0 ls0 ws0">80%<span class="_ _31"> </span><span class="ff4">1.19x<span class="_ _32"> </span>1.36x<span class="_ _1a"> </span>1.52x<span class="_ _32"> </span>1.67x<span class="_ _1a"> </span>2.14x<span class="_ _32"> </span>2.50x<span class="_ _1a"> </span>2.78x<span class="_ _32"> </span>3.57x<span class="_ _31"> </span>5.00x</span></div><div class="t m0 x30 h6 y9f ff11 fs4 fc0 sc0 ls0 ws0">90%<span class="_ _31"> </span><span class="ff4">1.22x<span class="_ _32"> </span>1.43x<span class="_ _1a"> </span>1.63x<span class="_ _32"> </span>1.82x<span class="_ _1a"> </span>2.50x<span class="_ _32"> </span>3.08x<span class="_ _1a"> </span>3.57x<span class="_ _32"> </span>5.26x<span class="_ _1a"> </span>10.00x</span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">24/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Ahmdal’s<span class="_ _9"> </span>La<span class="_ _3"></span>w<span class="_ _2a"> </span>3/3</div><div class="t m0 x1 h9 ya0 ff5 fs5 fc0 sc0 ls0 ws0">note:<span class="_ _f"> </span><span class="ff1">s<span class="_ _13"> </span></span>is<span class="_ _13"> </span>the<span class="_ _13"> </span>portion<span class="_ _13"> </span>of<span class="_ _13"> </span>the<span class="_ _13"> </span>system<span class="_ _13"> </span>that<span class="_ _14"> </span>cannot<span class="_ _13"> </span>b<span class="_ _b"></span>e<span class="_ _13"> </span>imp<span class="_ _3"></span>roved</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">25/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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||
<div id="pf1d" class="pf w0 h0" data-page-no="1d"><div class="pc pc1d w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Throughput,<span class="_ _9"> </span>Bandwidth,<span class="_ _9"> </span>Latency</div><div class="t m0 x1 hb ya1 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span><span class="ff1">throughput<span class="_ _c"> </span></span>is<span class="_ _f"> </span>the<span class="_ _f"> </span>rate<span class="_ _c"> </span>at<span class="_ _f"> </span>which<span class="_ _f"> </span>op<span class="_ _b"></span>erations<span class="_ _c"> </span>are<span class="_ _c"> </span>p<span class="_ _b"></span>erfo<span class="_ _3"></span>rmed</div><div class="t m0 x1 hb ya2 ff7 fs6 fc0 sc0 ls0 ws0">P<span class="_ _3"></span>eak<span class="_ _f"> </span>throughput<span class="_ _0"></span><span class="ff4">:</span></div><div class="t m0 x1 hb ya3 ff4 fs6 fc0 sc0 ls0 ws0">(CPU<span class="_ _f"> </span>speed<span class="_ _f"> </span>in<span class="_ _f"> </span>Hz)<span class="_ _c"> </span><span class="ff6">x<span class="_ _f"> </span></span>(CPU<span class="_ _f"> </span>instructions<span class="_ _f"> </span>per<span class="_ _f"> </span>cycle)<span class="_ _f"> </span><span class="ff6">x</span></div><div class="t m0 x1 hb ya4 ff4 fs6 fc0 sc0 ls0 ws0">(numb<span class="_ _b"></span>er<span class="_ _c"> </span>of<span class="_ _f"> </span>CPU<span class="_ _f"> </span>co<span class="_ _3"></span>res)<span class="_ _f"> </span><span class="ff6">x<span class="_ _c"> </span></span>(numb<span class="_ _b"></span>er<span class="_ _f"> </span>of<span class="_ _f"> </span>CPUs<span class="_ _c"> </span>p<span class="_ _b"></span>er<span class="_ _f"> </span>node)</div><div class="t m0 x1 h6 ya5 ff4 fs4 fc0 sc0 ls0 ws0">NOTE:<span class="_ _c"> </span>modern<span class="_ _c"> </span>processors<span class="_ _c"> </span>have<span class="_ _c"> </span>mo<span class="_ _3"></span>re<span class="_ _c"> </span>than<span class="_ _c"> </span>one<span class="_ _c"> </span>computation<span class="_ _c"> </span>unit</div><div class="t m0 x1 hb ya6 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _c"> </span><span class="ff1">memory<span class="_ _f"> </span>bandwidth<span class="_ _c"> </span></span>is<span class="_ _f"> </span>the<span class="_ _c"> </span>amount<span class="_ _c"> </span>of<span class="_ _f"> </span>data<span class="_ _c"> </span>that<span class="_ _f"> </span>can<span class="_ _c"> </span>b<span class="_ _b"></span>e<span class="_ _c"> </span>loaded<span class="_ _f"> </span>from<span class="_ _c"> </span>o<span class="_ _3"></span>r<span class="_ _f"> </span>sto<span class="_ _3"></span>red<span class="_ _f"> </span>into</div><div class="t m0 x1 hb ya7 ff4 fs6 fc0 sc0 ls0 ws0">a<span class="_ _f"> </span>pa<span class="_ _3"></span>rticular<span class="_ _c"> </span>memo<span class="_ _3"></span>ry<span class="_ _f"> </span>space</div><div class="t m0 x1 hb ya8 ff7 fs6 fc0 sc0 ls0 ws0">P<span class="_ _3"></span>eak<span class="_ _f"> </span>bandwidth<span class="ff4">:</span></div><div class="t m0 x1 hb ya9 ff4 fs6 fc0 sc0 ls0 ws0">(F<span class="_ _3"></span>requency<span class="_ _f"> </span>in<span class="_ _f"> </span>Hz)<span class="_ _c"> </span><span class="ff6">x<span class="_ _f"> </span></span>(Bus<span class="_ _f"> </span>width<span class="_ _f"> </span>in<span class="_ _c"> </span>bit<span class="_ _f"> </span>/<span class="_ _f"> </span>8)<span class="_ _c"> </span><span class="ff6">x<span class="_ _f"> </span></span>(Pump<span class="_ _f"> </span>rate,<span class="_ _c"> </span>memory<span class="_ _c"> </span>type<span class="_ _f"> </span>multiplier)</div><div class="t m0 x1 hb yaa ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span><span class="ff1">latency<span class="_ _c"> </span></span>is<span class="_ _f"> </span>the<span class="_ _f"> </span>amount<span class="_ _c"> </span>of<span class="_ _f"> </span>time<span class="_ _f"> </span>needed<span class="_ _f"> </span>fo<span class="_ _3"></span>r<span class="_ _f"> </span>an<span class="_ _c"> </span>op<span class="_ _b"></span>eration<span class="_ _f"> </span>to<span class="_ _c"> </span>complete</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">26/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf1e" class="pf w0 h0" data-page-no="1e"><div class="pc pc1e w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">P<span class="_ _3"></span>erfo<span class="_ _3"></span>rmance<span class="_ _9"> </span>Bounds<span class="_ _33"> </span>1/2</div><div class="t m0 x1 hb yab ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span>performance<span class="_ _c"> </span>of<span class="_ _f"> </span>a<span class="_ _f"> </span>p<span class="_ _3"></span>rogram<span class="_ _f"> </span>is<span class="_ _f"> </span><span class="ff7">bounded<span class="_ _15"> </span></span>by<span class="_ _c"> </span>one<span class="_ _f"> </span>o<span class="_ _3"></span>r<span class="_ _f"> </span>mo<span class="_ _3"></span>re<span class="_ _f"> </span>asp<span class="_ _b"></span>ects<span class="_ _c"> </span>of<span class="_ _f"> </span>its<span class="_ _f"> </span>computation.</div><div class="t m0 x1 hb yac ff4 fs6 fc0 sc0 ls0 ws0">This<span class="_ _f"> </span>is<span class="_ _c"> </span>also<span class="_ _f"> </span>strictly<span class="_ _f"> </span>related<span class="_ _c"> </span>to<span class="_ _f"> </span>the<span class="_ _f"> </span>underlying<span class="_ _f"> </span>ha<span class="_ _3"></span>rdw<span class="_ _3"></span>are</div><div class="t m0 x17 hb y1f ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff1">Memo<span class="_ _3"></span>ry-b<span class="_ _b"></span>ound<span class="ff4">.<span class="_ _15"> </span>The<span class="_ _f"> </span>p<span class="_ _3"></span>rogram<span class="_ _f"> </span>sp<span class="_ _b"></span>ends<span class="_ _c"> </span>its<span class="_ _f"> </span>time<span class="_ _f"> </span>p<span class="_ _3"></span>rimarily<span class="_ _c"> </span>in<span class="_ _f"> </span>p<span class="_ _b"></span>erfo<span class="_ _3"></span>rming<span class="_ _f"> </span><span class="ff7">memo<span class="_ _3"></span>ry</span></span></span></div><div class="t m0 x6 hb yad ff7 fs6 fc0 sc0 ls0 ws0">accesses<span class="ff4">.<span class="_ _15"> </span>The<span class="_ _f"> </span>p<span class="_ _b"></span>erfo<span class="_ _3"></span>rmance<span class="_ _f"> </span>is<span class="_ _c"> </span>limited<span class="_ _f"> </span>by<span class="_ _c"> </span>the<span class="_ _f"> </span><span class="ff7">memo<span class="_ _3"></span>ry<span class="_ _f"> </span>bandwidth<span class="_ _f"> </span><span class="ff4">(ra<span class="_ _3"></span>rely</span></span></span></div><div class="t m0 x6 hb yae ff4 fs6 fc0 sc0 ls0 ws0">memo<span class="_ _3"></span>ry-b<span class="_ _b"></span>ound<span class="_ _f"> </span>also<span class="_ _c"> </span>refers<span class="_ _f"> </span>to<span class="_ _f"> </span>the<span class="_ _c"> </span>amount<span class="_ _f"> </span>of<span class="_ _f"> </span>memo<span class="_ _3"></span>ry<span class="_ _f"> </span>available)</div><div class="t m0 x17 hb yaf ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff1">Compute-b<span class="_ _b"></span>ound<span class="_ _c"> </span><span class="ff4">(Math-b<span class="_ _b"></span>ound).<span class="_ _15"> </span>The<span class="_ _f"> </span>program<span class="_ _c"> </span>sp<span class="_ _b"></span>ends<span class="_ _c"> </span>its<span class="_ _f"> </span>time<span class="_ _f"> </span>p<span class="_ _3"></span>rimarily<span class="_ _c"> </span>in</span></span></div><div class="t m0 x6 hb yb0 ff4 fs6 fc0 sc0 ls0 ws0">computing<span class="_ _f"> </span><span class="ff7">a<span class="_ _3"></span>rithmetic<span class="_ _f"> </span>instructions<span class="ff4">.<span class="_ _15"> </span>The<span class="_ _c"> </span>p<span class="_ _b"></span>erformance<span class="_ _c"> </span>is<span class="_ _f"> </span>limited<span class="_ _c"> </span>by<span class="_ _c"> </span>the<span class="_ _f"> </span></span>sp<span class="_ _b"></span>eed<span class="_ _c"> </span>of<span class="_ _f"> </span>the</span></div><div class="t m0 x6 hb yb1 ff7 fs6 fc0 sc0 ls0 ws0">CPU</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">27/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf1f" class="pf w0 h0" data-page-no="1f"><div class="pc pc1f w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">P<span class="_ _3"></span>erfo<span class="_ _3"></span>rmance<span class="_ _9"> </span>Bounds<span class="_ _33"> </span>2/2</div><div class="t m0 x17 hb yb2 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff1">Latency-b<span class="_ _b"></span>ound<span class="ff4">.<span class="_ _15"> </span>The<span class="_ _f"> </span>p<span class="_ _3"></span>rogram<span class="_ _f"> </span>sp<span class="_ _b"></span>ends<span class="_ _c"> </span>its<span class="_ _f"> </span>time<span class="_ _f"> </span>p<span class="_ _3"></span>rima<span class="_ _3"></span>rily<span class="_ _f"> </span>in<span class="_ _f"> </span>w<span class="_ _3"></span>aiting<span class="_ _f"> </span><span class="ff7">the<span class="_ _f"> </span>data<span class="_ _c"> </span>are</span></span></span></div><div class="t m0 x6 hb yb3 ff7 fs6 fc0 sc0 ls0 ws0">ready<span class="_ _15"> </span><span class="ff4">(instruction/memory<span class="_ _c"> </span>dep<span class="_ _b"></span>endencies).<span class="_ _15"> </span>The<span class="_ _f"> </span>performance<span class="_ _c"> </span>is<span class="_ _f"> </span>limited<span class="_ _f"> </span>b<span class="_ _3"></span>y<span class="_ _f"> </span>the</span></div><div class="t m0 x6 hb yb4 ff7 fs6 fc0 sc0 ls0 ws0">latency<span class="_ _f"> </span>of<span class="_ _c"> </span>the<span class="_ _f"> </span>CPU/memo<span class="_ _3"></span>ry</div><div class="t m0 x17 hb yb5 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff1">I/O<span class="_ _7"> </span>Bound<span class="ff4">.<span class="_ _15"> </span>The<span class="_ _f"> </span>p<span class="_ _3"></span>rogram<span class="_ _f"> </span>sp<span class="_ _b"></span>ends<span class="_ _c"> </span>its<span class="_ _f"> </span>time<span class="_ _f"> </span>p<span class="_ _3"></span>rimarily<span class="_ _c"> </span>in<span class="_ _f"> </span>p<span class="_ _b"></span>erfo<span class="_ _3"></span>rming<span class="_ _f"> </span><span class="ff7">I/O<span class="_ _c"> </span>op<span class="_ _b"></span>erations</span></span></span></div><div class="t m0 x6 hb yb6 ff4 fs6 fc0 sc0 ls0 ws0">(net<span class="_ _3"></span>wo<span class="_ _3"></span>rk,<span class="_ _f"> </span>user<span class="_ _c"> </span>input,<span class="_ _f"> </span>storage,<span class="_ _c"> </span>etc.).<span class="_ _15"> </span>The<span class="_ _f"> </span>p<span class="_ _b"></span>erfo<span class="_ _3"></span>rmance<span class="_ _f"> </span>is<span class="_ _f"> </span>limited<span class="_ _c"> </span>by<span class="_ _c"> </span>the<span class="_ _f"> </span><span class="ff7">sp<span class="_ _b"></span>eed<span class="_ _c"> </span>of</span></div><div class="t m0 x6 hb yb7 ff7 fs6 fc0 sc0 ls0 ws0">the<span class="_ _f"> </span>I/O<span class="_ _c"> </span>subsystem</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">28/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf20" class="pf w0 h0" data-page-no="20"><div class="pc pc20 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Arithmetic<span class="_ _9"> </span>Intensit<span class="_ _3"></span>y<span class="_ _34"> </span>1/6</div><div class="t m0 x2b hb yb8 ff1 fs6 fc1 sc0 ls0 ws0">Arithmetic<span class="_ _f"> </span>Intensity</div><div class="t m0 x2b hb yb9 ff1 fs6 fc0 sc0 ls0 ws0">Arithmetic/Op<span class="_ _b"></span>erational<span class="_ _f"> </span>Intensity<span class="_ _c"> </span><span class="ff4">is<span class="_ _f"> </span>the<span class="_ _f"> </span>ratio<span class="_ _c"> </span>of<span class="_ _f"> </span>total<span class="_ _f"> </span>operations<span class="_ _f"> </span>to<span class="_ _f"> </span>total<span class="_ _f"> </span>data</span></div><div class="t m0 x2b hb yba ff4 fs6 fc0 sc0 ls0 ws0">movement<span class="_ _f"> </span>(b<span class="_ _3"></span>ytes<span class="_ _f"> </span>o<span class="_ _3"></span>r<span class="_ _f"> </span>w<span class="_ _3"></span>ords)</div><div class="t m0 x1 hb ybb ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span><span class="ff1">a<span class="_ _3"></span>rithmetic<span class="_ _7"> </span>intensit<span class="_ _3"></span>y<span class="_ _f"> </span><span class="ff4">is<span class="_ _f"> </span>a<span class="_ _c"> </span>fundamental<span class="_ _f"> </span>metric<span class="_ _f"> </span>to<span class="_ _c"> </span>understand<span class="_ _f"> </span>the<span class="_ _f"> </span>p<span class="_ _b"></span>erfo<span class="_ _3"></span>rmance</span></span></div><div class="t m0 x1 hb ybc ff4 fs6 fc0 sc0 ls0 ws0">limitations<span class="_ _f"> </span>of<span class="_ _c"> </span>a<span class="_ _f"> </span>system,<span class="_ _f"> </span>namely<span class="_ _c"> </span><span class="ff7">compute-b<span class="_ _b"></span>ound<span class="_ _15"> </span></span>o<span class="_ _3"></span>r<span class="_ _f"> </span><span class="ff7">memo<span class="_ _3"></span>ry-b<span class="_ _b"></span>ound</span></div><div class="t m0 x1 hb ybd ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span><span class="ff1">roofline<span class="_ _7"> </span>mo<span class="_ _b"></span>del<span class="_ _f"> </span></span>uses<span class="_ _c"> </span>the<span class="_ _f"> </span><span class="ff7">arithmetic<span class="_ _c"> </span>intensity<span class="_ _9"> </span></span>to<span class="_ _f"> </span>visually<span class="_ _f"> </span>assess<span class="_ _c"> </span>the<span class="_ _f"> </span>p<span class="_ _b"></span>erfo<span class="_ _3"></span>rmance<span class="_ _f"> </span>of</div><div class="t m0 x1 hb ybe ff4 fs6 fc0 sc0 ls0 ws0">a<span class="_ _f"> </span>system<span class="_ _c"> </span>and<span class="_ _f"> </span>the<span class="_ _f"> </span>algo<span class="_ _3"></span>rithms/implementations<span class="_ _f"> </span>that<span class="_ _f"> </span>execute<span class="_ _c"> </span>on<span class="_ _f"> </span>it</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">29/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Arithmetic<span class="_ _9"> </span>Intensit<span class="_ _3"></span>y<span class="_ _9"> </span>-<span class="_ _9"> </span>Ideal<span class="_ _9"> </span>Matrix<span class="_ _9"> </span>Multiplication<span class="_ _35"> </span>2/6</div><div class="t m0 x1 hb y29 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span>naive<span class="_ _c"> </span>matrix<span class="_ _f"> </span>multiplication<span class="_ _f"> </span>algo<span class="_ _3"></span>rithm<span class="_ _f"> </span>requires<span class="_ _f"> </span><span class="ff7">N</span></div><div class="t m0 x31 h9 ybf ff5 fs5 fc0 sc0 ls0 ws0">3</div><div class="t m0 x28 hb y29 ffc fs6 fc0 sc0 ls0 ws0">·<span class="_ _14"> </span><span class="ff4">2<span class="_ _f"> </span>floating-point<span class="_ _f"> </span>op<span class="_ _b"></span>erations<span class="ff1">*</span></span></div><div class="t m0 x1 hb yc0 ff4 fs6 fc0 sc0 ls0 ws0">(multiplication<span class="_ _f"> </span>+<span class="_ _c"> </span>addition)<span class="_ _f"> </span>and<span class="_ _f"> </span>operates<span class="_ _f"> </span>on</div><div class="t m0 x32 h11 yc1 ff12 fs4 fc0 sc0 ls0 ws0"></div><div class="t m0 x33 hb yc0 ff7 fs6 fc0 sc0 ls0 ws0">N</div><div class="t m0 x34 h9 yc2 ff5 fs5 fc0 sc0 ls0 ws0">2</div><div class="t m0 x35 hb yc0 ffc fs6 fc0 sc0 ls0 ws0">·<span class="_ _14"> </span><span class="ff4">4B</span></div><div class="t m0 x31 h11 yc1 ff12 fs4 fc0 sc0 ls0 ws0"></div><div class="t m0 x28 hb yc0 ffc fs6 fc0 sc0 ls0 ws0">·<span class="_ _14"> </span><span class="ff4">3<span class="_ _f"> </span>data</span></div><div class="t m0 x36 hb yc3 ff4 fs6 fc0 sc0 ls0 ws0">Considering<span class="_ _13"> </span>an<span class="_ _13"> </span>ideal<span class="_ _c"> </span>system,<span class="_ _13"> </span>where<span class="_ _13"> </span>each<span class="_ _c"> </span>matrix</div><div class="t m0 x36 hb yc4 ff4 fs6 fc0 sc0 ls0 ws0">entry<span class="_ _7"> </span>is<span class="_ _9"> </span>accessed<span class="_ _9"> </span>only<span class="_ _9"> </span>once,<span class="_ _9"> </span>and<span class="_ _36"> </span><span class="ff6">float<span class="_ _36"> </span></span>data</div><div class="t m0 x36 hb yc5 ff4 fs6 fc0 sc0 ls0 ws0">t<span class="_ _3"></span>yp<span class="_ _b"></span>e</div><div class="t m0 x37 hb yc6 ff7 fs6 fc0 sc0 ls0 ws0">R<span class="_ _f"> </span><span class="ffb">=</span></div><div class="t m0 x38 hb yc7 ff7 fs6 fc0 sc0 ls0 ws0">ops</div><div class="t m0 x39 hb yc8 ff7 fs6 fc0 sc0 ls0 ws0">b<span class="_ _3"></span>ytes</div><div class="t m0 x3a hb yc6 ffb fs6 fc0 sc0 ls0 ws0">=</div><div class="t m0 x2e hb yc7 ff4 fs6 fc0 sc0 ls0 ws0">2<span class="ff7">N</span></div><div class="t m0 x3b h9 yc9 ff5 fs5 fc0 sc0 ls0 ws0">3</div><div class="t m0 x3c hb yc8 ff4 fs6 fc0 sc0 ls0 ws0">12<span class="ff7">N</span></div><div class="t m0 x3d h9 yca ff5 fs5 fc0 sc0 ls0 ws0">2</div><div class="t m0 x3e hb yc6 ffb fs6 fc0 sc0 ls0 ws0">=</div><div class="t m0 x14 hb yc7 ff7 fs6 fc0 sc0 ls0 ws0">N</div><div class="t m0 x11 hb yc8 ff4 fs6 fc0 sc0 ls0 ws0">6</div><div class="t m0 x36 hb ycb ff4 fs6 fc0 sc0 ls0 ws0">which<span class="_ _f"> </span>means<span class="_ _7"> </span>that<span class="_ _7"> </span>for<span class="_ _f"> </span>every<span class="_ _7"> </span>byte<span class="_ _f"> </span>accessed,<span class="_ _7"> </span>the</div><div class="t m0 x36 hb ycc ff4 fs6 fc0 sc0 ls0 ws0">algo<span class="_ _3"></span>rithm<span class="_ _c"> </span>p<span class="_ _b"></span>erfo<span class="_ _3"></span>rms</div><div class="t m0 x1c h12 ycd ff16 fs5 fc0 sc0 ls0 ws0">N</div><div class="t m0 x3f h9 yce ff5 fs5 fc0 sc0 ls0 ws0">6</div><div class="t m0 x3a hb ycc ff4 fs6 fc0 sc0 ls0 ws0">op<span class="_ _b"></span>erations<span class="_ _13"> </span><span class="ffc">→<span class="_ _c"> </span><span class="ff1">compute-</span></span></div><div class="t m0 x36 hb ycf ff1 fs6 fc0 sc0 ls0 ws0">b<span class="_ _b"></span>ound</div><div class="t m0 x17 hd yd0 ff1 fs7 fc3 sc0 ls0 ws0">*<span class="_ _13"> </span><span class="ffa">What<span class="_ _15"> </span>Is<span class="_ _15"> </span>a<span class="_ _15"> </span>Flop?</span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">30/65</div><a class="l" href="https://nhigham.com/2023/09/05/what-is-a-flop/"><div class="d m1" style="border-style:none;position:absolute;left:42.726000px;bottom:-1.133000px;width:72.602000px;height:13.445000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf22" class="pf w0 h0" data-page-no="22"><div class="pc pc22 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Arithmetic<span class="_ _9"> </span>Intensit<span class="_ _3"></span>y<span class="_ _9"> </span>-<span class="_ _9"> </span>Real<span class="_ _9"> </span>Matrix<span class="_ _9"> </span>Multiplication,<span class="_ _9"> </span>Basic<span class="_ _9"> </span>Algo<span class="_ _3"></span>rithm<span class="_ _37"> </span>3/6</div><div class="t m0 x1 hb y27 ff4 fs6 fc0 sc0 ls0 ws0">Assuming<span class="_ _f"> </span><span class="ff7">N<span class="_ _9"> </span></span>a<span class="_ _f"> </span>la<span class="_ _3"></span>rge<span class="_ _f"> </span>value<span class="_ _c"> </span>(<span class="ff7">N<span class="_ _c"> </span><span class="ffc">∗<span class="_ _14"> </span></span>N<span class="_ _7"> </span><span class="ffc">≫<span class="_ _f"> </span></span></span>cache<span class="_ _c"> </span>size),<span class="_ _f"> </span>the<span class="_ _f"> </span>basic<span class="_ _c"> </span>algorithm<span class="_ _c"> </span>is<span class="_ _f"> </span>equivalent<span class="_ _f"> </span>to<span class="_ _c"> </span>a</div><div class="t m0 x1 hb y28 ff4 fs6 fc0 sc0 ls0 ws0">dot<span class="_ _f"> </span>p<span class="_ _3"></span>ro<span class="_ _b"></span>duct<span class="_ _c"> </span>for<span class="_ _c"> </span>each<span class="_ _f"> </span>entry<span class="_ _f"> </span>of<span class="_ _c"> </span>the<span class="_ _f"> </span>output<span class="_ _f"> </span>matrix.<span class="_ _15"> </span>The<span class="_ _f"> </span>algo<span class="_ _3"></span>rithm<span class="_ _f"> </span>p<span class="_ _b"></span>erfo<span class="_ _3"></span>rms<span class="_ _f"> </span>2<span class="ff7">N</span></div><div class="t m0 x3 h9 yd1 ff5 fs5 fc0 sc0 ls0 ws0">3</div><div class="t m0 x1 hb yd2 ff4 fs6 fc0 sc0 ls0 ws0">op<span class="_ _b"></span>erations<span class="_ _c"> </span>and<span class="_ _f"> </span>involves<span class="_ _f"> </span><span class="ff7">N</span></div><div class="t m0 x40 h9 yd3 ff5 fs5 fc0 sc0 ls0 ws0">3</div><div class="t m0 x41 hb yd2 ffc fs6 fc0 sc0 ls0 ws0">∗<span class="_ _14"> </span><span class="ff4">4<span class="ff7">B<span class="_ _7"> </span></span>data<span class="_ _f"> </span>movement<span class="_ _f"> </span>(excluding<span class="_ _c"> </span>storing<span class="_ _c"> </span>the<span class="_ _f"> </span>results<span class="_ _f"> </span>on<span class="_ _f"> </span>C)</span></div><div class="t m0 x2b he yd4 ff11 fs7 fc6 sc0 ls0 ws0">for<span class="_ _15"> </span><span class="ffa fc0">(</span><span class="fc7">int<span class="_ _15"> </span><span class="ffa fc0">i<span class="_ _15"> </span><span class="fc8">=<span class="_ _9"> </span>0</span>;<span class="_ _15"> </span>i<span class="_ _15"> </span><span class="fc8"><<span class="_ _15"> </span></span>N;<span class="_ _15"> </span>i<span class="fc8">++</span>)<span class="_ _15"> </span>{</span></span></div><div class="t m0 x6 he yd5 ff11 fs7 fc6 sc0 ls0 ws0">for<span class="_ _15"> </span><span class="ffa fc0">(</span><span class="fc7">int<span class="_ _15"> </span><span class="ffa fc0">j<span class="_ _15"> </span><span class="fc8">=<span class="_ _9"> </span>0</span>;<span class="_ _15"> </span>j<span class="_ _15"> </span><span class="fc8"><<span class="_ _15"> </span></span>N;<span class="_ _15"> </span>j<span class="fc8">++</span>)<span class="_ _15"> </span>{</span></span></div><div class="t m0 x42 he yd6 ff11 fs7 fc7 sc0 ls0 ws0">float<span class="_ _15"> </span><span class="ffa fc0">sum<span class="_ _15"> </span><span class="fc8">=<span class="_ _15"> </span>0</span>;</span></div><div class="t m0 x42 he yd7 ff11 fs7 fc6 sc0 ls0 ws0">for<span class="_ _15"> </span><span class="ffa fc0">(</span><span class="fc7">int<span class="_ _15"> </span><span class="ffa fc0">k<span class="_ _15"> </span><span class="fc8">=<span class="_ _9"> </span>0</span>;<span class="_ _15"> </span>k<span class="_ _15"> </span><span class="fc8"><<span class="_ _15"> </span></span>N;<span class="_ _15"> </span>k<span class="fc8">++</span>)</span></span></div><div class="t m0 x43 he yd8 ffa fs7 fc0 sc0 ls0 ws0">sum<span class="_ _15"> </span><span class="fc8">+=<span class="_ _15"> </span></span>A[i][k]<span class="_ _15"> </span><span class="fc8">*<span class="_ _9"> </span></span>B[k][j];<span class="_ _15"> </span><span class="ff17 fc9">//<span class="_ _15"> </span>row-major<span class="_ _15"> </span>order</span></div><div class="t m0 x42 he yd9 ffa fs7 fc0 sc0 ls0 ws0">C[i][j]<span class="_ _15"> </span><span class="fc8">=<span class="_ _15"> </span></span>sum;</div><div class="t m0 x6 he yda ffa fs7 fc0 sc0 ls0 ws0">}</div><div class="t m0 x2b he ydb ffa fs7 fc0 sc0 ls0 ws0">}</div><div class="t m0 x44 hb ydc ff7 fs6 fc0 sc0 ls0 ws0">ops</div><div class="t m0 x45 hb ydd ff7 fs6 fc0 sc0 ls0 ws0">b<span class="_ _3"></span>ytes</div><div class="t m0 x46 hb yde ffb fs6 fc0 sc0 ls0 ws0">=</div><div class="t m0 x47 hb ydc ff4 fs6 fc0 sc0 ls0 ws0">2<span class="ff7">N</span></div><div class="t m0 x48 h9 ydf ff5 fs5 fc0 sc0 ls0 ws0">3</div><div class="t m0 x49 hb ydd ff4 fs6 fc0 sc0 ls0 ws0">12<span class="ff7">N</span></div><div class="t m0 x1e h9 ye0 ff5 fs5 fc0 sc0 ls0 ws0">3</div><div class="t m0 x4a hb yde ffb fs6 fc0 sc0 ls0 ws0">=</div><div class="t m0 x4b hb ydc ff4 fs6 fc0 sc0 ls0 ws0">1</div><div class="t m0 x4b hb ydd ff4 fs6 fc0 sc0 ls0 ws0">6</div><div class="t m0 x32 hb yde ffc fs6 fc0 sc0 ls0 ws0">→<span class="_ _13"> </span><span class="ff7">memory-bound</span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">31/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf23" class="pf w0 h0" data-page-no="23"><div class="pc pc23 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Arithmetic<span class="_ _9"> </span>Intensit<span class="_ _3"></span>y<span class="_ _9"> </span>-<span class="_ _9"> </span>Real<span class="_ _9"> </span>Matrix<span class="_ _9"> </span>Multiplication,<span class="_ _9"> </span>Blo<span class="_ _b"></span>ck<span class="_ _3"></span>ed<span class="_ _9"> </span>Algorithm<span class="_ _38"> </span>4/6</div><div class="t m0 x1 hb ye1 ff4 fs6 fc0 sc0 ls0 ws0">One<span class="_ _f"> </span>of<span class="_ _c"> </span>the<span class="_ _f"> </span>main<span class="_ _f"> </span>optimizations<span class="_ _c"> </span>in<span class="_ _f"> </span>matrix<span class="_ _f"> </span>multiplication<span class="_ _f"> </span>is<span class="_ _c"> </span>to<span class="_ _f"> </span>o<span class="_ _3"></span>rganize<span class="_ _f"> </span>the<span class="_ _f"> </span>computation</div><div class="t m0 x1 hb ye2 ff4 fs6 fc0 sc0 ls0 ws0">b<span class="_ _3"></span>y<span class="_ _f"> </span>partitioning<span class="_ _c"> </span>the<span class="_ _f"> </span>matrices<span class="_ _c"> </span>into<span class="_ _f"> </span><span class="ff1">blo<span class="_ _b"></span>cks<span class="_ _f"> </span></span>(o<span class="_ _3"></span>r<span class="_ _f"> </span><span class="ff1">tiles</span>).<span class="_ _15"> </span>The<span class="_ _f"> </span>prima<span class="_ _3"></span>ry<span class="_ _c"> </span>goal<span class="_ _f"> </span>is<span class="_ _f"> </span>to<span class="_ _f"> </span>tak<span class="_ _3"></span>e</div><div class="t m0 x1 hb ye3 ff4 fs6 fc0 sc0 ls0 ws0">advantage<span class="_ _f"> </span>of<span class="_ _c"> </span>the<span class="_ _f"> </span>memo<span class="_ _3"></span>ry<span class="_ _f"> </span>hierarchy<span class="_ _c"> </span>to<span class="_ _f"> </span>imp<span class="_ _3"></span>rove<span class="_ _f"> </span><span class="ff7">data<span class="_ _f"> </span>locality</span></div><div class="t m0 x1 hb ye4 ff4 fs6 fc0 sc0 ls0 ws0">While<span class="_ _f"> </span>blocked<span class="_ _c"> </span>matrix<span class="_ _f"> </span>multiplication<span class="_ _f"> </span>doesn’t<span class="_ _f"> </span>change<span class="_ _f"> </span>the<span class="_ _f"> </span>number<span class="_ _f"> </span>of<span class="_ _f"> </span>operations,<span class="_ _f"> </span>it</div><div class="t m0 x1 hb ye5 ff7 fs6 fc0 sc0 ls0 ws0">significantly<span class="_ _f"> </span>reduces<span class="_ _c"> </span>data<span class="_ _f"> </span>movement<span class="_ _9"> </span><span class="ff4">out<span class="_ _f"> </span>of<span class="_ _f"> </span>main<span class="_ _c"> </span>memory</span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">32/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf24" class="pf w0 h0" data-page-no="24"><div class="pc pc24 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Arithmetic<span class="_ _9"> </span>Intensit<span class="_ _3"></span>y<span class="_ _9"> </span>-<span class="_ _9"> </span>Real<span class="_ _9"> </span>Matrix<span class="_ _9"> </span>Multiplication,<span class="_ _9"> </span>Blo<span class="_ _b"></span>ck<span class="_ _3"></span>ed<span class="_ _9"> </span>Algorithm<span class="_ _38"> </span>5/6</div><div class="t m0 x1 hb ye6 ff4 fs6 fc0 sc0 ls0 ws0">By<span class="_ _f"> </span>selecting<span class="_ _c"> </span>blo<span class="_ _b"></span>cks<span class="_ _f"> </span>of<span class="_ _c"> </span>optimal<span class="_ _f"> </span>size,<span class="_ _f"> </span>w<span class="_ _3"></span>e<span class="_ _f"> </span>can<span class="_ _f"> </span>reduce<span class="_ _c"> </span>the<span class="_ _f"> </span>data<span class="_ _f"> </span>movement<span class="_ _c"> </span>by<span class="_ _c"> </span>a<span class="_ _f"> </span>factor</div><div class="t m0 x1 hb ye7 ff4 fs6 fc0 sc0 ls0 ws0">p<span class="_ _3"></span>rop<span class="_ _b"></span>o<span class="_ _3"></span>rtional<span class="_ _f"> </span>to<span class="_ _f"> </span>the<span class="_ _c"> </span>blo<span class="_ _b"></span>ck<span class="_ _f"> </span>size.<span class="_ _15"> </span>The<span class="_ _f"> </span>computation<span class="_ _f"> </span>can<span class="_ _c"> </span>b<span class="_ _b"></span>e<span class="_ _f"> </span>view<span class="_ _3"></span>ed<span class="_ _f"> </span>as<span class="_ _c"> </span>a<span class="_ _f"> </span>sequence<span class="_ _f"> </span>of<span class="_ _f"> </span>dot</div><div class="t m0 x1 hb ye8 ff4 fs6 fc0 sc0 ls0 ws0">p<span class="_ _3"></span>ro<span class="_ _b"></span>ducts,<span class="_ _f"> </span>one<span class="_ _c"> </span>for<span class="_ _c"> </span>each<span class="_ _f"> </span>blo<span class="_ _b"></span>ck<span class="_ _c"> </span>in<span class="_ _f"> </span>the<span class="_ _f"> </span>output<span class="_ _c"> </span>matrix</div><div class="t m0 x36 hb y9 ff4 fs6 fc0 sc0 ls0 ws0">Considering<span class="_"> </span>an<span class="_"> </span>optimal<span class="_"> </span>block<span class="_"> </span>size<span class="_"> </span><span class="ff7">B<span class="_ _23"> </span></span>to<span class="_"> </span>fully</div><div class="t m0 x36 hb ye9 ff4 fs6 fc0 sc0 ls0 ws0">exploit<span class="_ _f"> </span>the<span class="_ _c"> </span>caches</div><div class="t m0 x4c hb yea ff7 fs6 fc0 sc0 ls0 ws0">ops</div><div class="t m0 x4d hb yeb ff7 fs6 fc0 sc0 ls0 ws0">b<span class="_ _3"></span>ytes</div><div class="t m0 x4e hb yec ffb fs6 fc0 sc0 ls0 ws0">=</div><div class="t m0 x4f hb yea ff4 fs6 fc0 sc0 ls0 ws0">2<span class="ff7">N</span></div><div class="t m0 x39 h9 yed ff5 fs5 fc0 sc0 ls0 ws0">3</div><div class="t m0 xa hb yee ff4 fs6 fc0 sc0 ls0 ws0">12</div><div class="t m0 x35 h11 yef ff12 fs4 fc0 sc0 ls0 ws0"></div><div class="t m0 x50 h12 yf0 ff16 fs5 fc0 sc0 ls0 ws0">N</div><div class="t m0 x50 h12 yf1 ff16 fs5 fc0 sc0 ls0 ws0">B</div><div class="t m0 x38 h11 yef ff12 fs4 fc0 sc0 ls0 ws0"></div><div class="t m0 x51 h9 yf2 ff5 fs5 fc0 sc0 ls0 ws0">3</div><div class="t m0 x3f hb yec ffb fs6 fc0 sc0 ls0 ws0">=</div><div class="t m0 x52 hb yea ff7 fs6 fc0 sc0 ls0 ws0">B</div><div class="t m0 x53 h9 yed ff5 fs5 fc0 sc0 ls0 ws0">3</div><div class="t m0 x54 hb yeb ff4 fs6 fc0 sc0 ls0 ws0">6</div><div class="t m0 x55 hb yec ffc fs6 fc0 sc0 ls0 ws0">→<span class="_ _13"> </span><span class="ff7">compute-b<span class="_ _b"></span>ound</span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">33/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Arithmetic<span class="_ _9"> </span>Intensit<span class="_ _3"></span>y<span class="_ _9"> </span>-<span class="_ _9"> </span>P<span class="_ _3"></span>erformance<span class="_ _7"> </span>Numb<span class="_ _b"></span>ers<span class="_ _39"> </span>6/6</div><div class="t m0 x56 h6 yf3 ff1 fs4 fc0 sc0 ls0 ws0">N<span class="_ _2f"> </span>Op<span class="_ _b"></span>erations<span class="_ _32"> </span>Data<span class="_ _f"> </span>Movement<span class="_ _32"> </span>Ratio<span class="_ _1a"> </span>Exec.<span class="_ _15"> </span>Time</div><div class="t m0 x57 h6 yf4 ff6 fs4 fc0 sc0 ls0 ws0">512<span class="_ _3a"> </span><span class="ff4">268<span class="_ _14"> </span><span class="ffc">·<span class="_ _28"></span></span>10</span></div><div class="t m0 x58 hf yf5 ff5 fs8 fc0 sc0 ls0 ws0">6</div><div class="t m0 x37 h6 yf4 ff4 fs4 fc0 sc0 ls0 ws0">3<span class="_ _c"> </span>MB<span class="_ _3b"> </span>85<span class="_ _3c"> </span>2<span class="_ _c"> </span>ms</div><div class="t m0 x1a h6 yf6 ff6 fs4 fc0 sc0 ls0 ws0">1024<span class="_ _3d"> </span><span class="ff4">2<span class="_ _14"> </span><span class="ffc">·<span class="_ _28"></span></span>10</span></div><div class="t m0 x58 hf yf7 ff5 fs8 fc0 sc0 ls0 ws0">9</div><div class="t m0 x59 h6 yf6 ff4 fs4 fc0 sc0 ls0 ws0">12<span class="_ _c"> </span>MB<span class="_ _2f"> </span>170<span class="_ _3e"> </span>21<span class="_ _c"> </span>ms</div><div class="t m0 x1a h6 yf8 ff6 fs4 fc0 sc0 ls0 ws0">2048<span class="_ _3f"> </span><span class="ff4">17<span class="_ _14"> </span><span class="ffc">·<span class="_ _28"></span></span>10</span></div><div class="t m0 x58 hf yf9 ff5 fs8 fc0 sc0 ls0 ws0">9</div><div class="t m0 x59 h6 yf8 ff4 fs4 fc0 sc0 ls0 ws0">50<span class="_ _c"> </span>MB<span class="_ _2f"> </span>341<span class="_ _40"> </span>170<span class="_ _c"> </span>ms</div><div class="t m0 x1a h6 yfa ff6 fs4 fc0 sc0 ls0 ws0">4096<span class="_ _3a"> </span><span class="ff4">137<span class="_ _14"> </span><span class="ffc">·<span class="_ _28"></span></span>10</span></div><div class="t m0 x58 hf yfb ff5 fs8 fc0 sc0 ls0 ws0">9</div><div class="t m0 x5a h6 yfa ff4 fs4 fc0 sc0 ls0 ws0">201<span class="_ _c"> </span>MB<span class="_ _2f"> </span>682<span class="_ _41"> </span>1.3<span class="_ _c"> </span>s</div><div class="t m0 x1a h6 yfc ff6 fs4 fc0 sc0 ls0 ws0">8192<span class="_ _42"> </span><span class="ff4">1<span class="_ _14"> </span><span class="ffc">·<span class="_ _28"></span></span>10</span></div><div class="t m0 x46 hf yfd ff5 fs8 fc0 sc0 ls0 ws0">12</div><div class="t m0 x5a h6 yfc ff4 fs4 fc0 sc0 ls0 ws0">806<span class="_ _c"> </span>MB<span class="_ _43"> </span>1365<span class="_ _44"> </span>11<span class="_ _c"> </span>s</div><div class="t m0 x5b h6 yfe ff6 fs4 fc0 sc0 ls0 ws0">16384<span class="_ _42"> </span><span class="ff4">9<span class="_ _14"> </span><span class="ffc">·<span class="_ _28"></span></span>10</span></div><div class="t m0 x46 hf yff ff5 fs8 fc0 sc0 ls0 ws0">12</div><div class="t m0 x5c h6 yfe ff4 fs4 fc0 sc0 ls0 ws0">3<span class="_ _c"> </span>GB<span class="_ _43"> </span>2730<span class="_ _44"> </span>90<span class="_ _c"> </span>s</div><div class="t m0 x1 hb y100 ff4 fs6 fc0 sc0 ls0 ws0">A<span class="_ _f"> </span>modern<span class="_ _f"> </span>CPU<span class="_ _f"> </span>performs<span class="_ _c"> </span>100<span class="_ _f"> </span>GFlops,<span class="_ _f"> </span>and<span class="_ _f"> </span>has<span class="_ _c"> </span>ab<span class="_ _b"></span>out<span class="_ _f"> </span>50<span class="_ _c"> </span>GB/s<span class="_ _f"> </span>memory<span class="_ _c"> </span>bandwidth</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">34/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf26" class="pf w0 h0" data-page-no="26"><div class="pc pc26 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x8 h2 y101 ff1 fs0 fc0 sc0 ls0 ws0">Basic<span class="_ _1"> </span>Architecture</div><div class="t m0 x8 h2 y102 ff1 fs0 fc0 sc0 ls0 ws0">Concepts</div><a class="l" href="#pf26" data-dest-detail='[38,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:154.437000px;width:241.993000px;height:19.206000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf26" data-dest-detail='[38,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:115.247000px;width:106.119000px;height:24.025000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf27" class="pf w0 h0" data-page-no="27"><div class="pc pc27 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Instruction<span class="_ _9"> </span>Throughput<span class="_ _9"> </span>(<span class="ff11">IPC</span>),<span class="_ _9"> </span>In-Order,<span class="_ _9"> </span>and<span class="_ _9"> </span>Out-of-Order<span class="_ _9"> </span>Execution</div><div class="t m0 x1 hb y103 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span><span class="ff7">p<span class="_ _3"></span>ro<span class="_ _b"></span>cesso<span class="_ _3"></span>r<span class="_ _f"> </span>throughput<span class="ff4">,<span class="_ _c"> </span>namely<span class="_ _f"> </span>the<span class="_ _f"> </span>numb<span class="_ _b"></span>er<span class="_ _c"> </span>of<span class="_ _f"> </span>instructions<span class="_ _f"> </span>that<span class="_ _c"> </span>can<span class="_ _f"> </span>b<span class="_ _b"></span>e<span class="_ _c"> </span>executed<span class="_ _f"> </span>in</span></span></div><div class="t m0 x1 hb y104 ff4 fs6 fc0 sc0 ls0 ws0">a<span class="_ _f"> </span>unit<span class="_ _c"> </span>of<span class="_ _f"> </span>time,<span class="_ _f"> </span>is<span class="_ _c"> </span>measured<span class="_ _f"> </span>in<span class="_ _f"> </span><span class="ff1">Instruction<span class="_ _f"> </span>p<span class="_ _b"></span>er<span class="_ _7"> </span>Cycle<span class="_ _7"> </span>(IPC)</span>.</div><div class="t m0 x1 hb y105 ff4 fs6 fc0 sc0 ls0 ws0">It<span class="_ _f"> </span>is<span class="_ _c"> </span>wo<span class="_ _3"></span>rth<span class="_ _f"> </span>noting<span class="_ _c"> </span>that<span class="_ _f"> </span>most<span class="_ _f"> </span>instructions<span class="_ _f"> </span>require<span class="_ _c"> </span>multiple<span class="_ _f"> </span>clo<span class="_ _b"></span>ck<span class="_ _c"> </span>cycles<span class="_ _f"> </span>(<span class="ff1">Cycles<span class="_ _7"> </span>P<span class="_ _3"></span>er</span></div><div class="t m0 x1 hb y106 ff1 fs6 fc0 sc0 ls0 ws0">Instruction,<span class="_ _f"> </span>CPI<span class="ff4">).<span class="_ _f"> </span>Therefore<span class="_ _c"> </span>improving<span class="_ _c"> </span>the<span class="_ _f"> </span>IPC<span class="_ _f"> </span>requires<span class="_ _c"> </span>advanced<span class="_ _f"> </span>ha<span class="_ _3"></span>rdwa<span class="_ _3"></span>re<span class="_ _f"> </span>support</span></div><div class="t m0 x1 hb y107 ff1 fs6 fc0 sc0 ls0 ws0">In-Order<span class="_ _f"> </span>Execution<span class="_ _7"> </span>(IOE)<span class="_ _f"> </span><span class="ff4">refers<span class="_ _f"> </span>to<span class="_ _c"> </span>the<span class="_ _f"> </span>sequential<span class="_ _f"> </span>p<span class="_ _3"></span>ro<span class="_ _b"></span>cessing<span class="_ _f"> </span>of<span class="_ _c"> </span>instructions<span class="_ _f"> </span>in<span class="_ _f"> </span>the</span></div><div class="t m0 x1 hb y108 ff4 fs6 fc0 sc0 ls0 ws0">exact<span class="_ _f"> </span>o<span class="_ _3"></span>rder<span class="_ _f"> </span>they<span class="_ _c"> </span>app<span class="_ _b"></span>ear<span class="_ _c"> </span>in<span class="_ _f"> </span>the<span class="_ _c"> </span>program</div><div class="t m0 x1 hb y109 ff1 fs6 fc0 sc0 ls0 ws0">Out-of-Order<span class="_ _f"> </span>Execution<span class="_ _f"> </span><span class="ff4">(</span>OOE<span class="ff4">)<span class="_ _f"> </span>refers<span class="_ _f"> </span>to<span class="_ _c"> </span>the<span class="_ _f"> </span>execution<span class="_ _f"> </span>of<span class="_ _c"> </span>instructions<span class="_ _f"> </span>based<span class="_ _f"> </span>on<span class="_ _f"> </span>the</span></div><div class="t m0 x1 hb y10a ff4 fs6 fc0 sc0 ls0 ws0">availabilit<span class="_ _3"></span>y<span class="_ _f"> </span>of<span class="_ _f"> </span>input<span class="_ _c"> </span>data<span class="_ _f"> </span>and<span class="_ _f"> </span>execution<span class="_ _f"> </span>units,<span class="_ _c"> </span>rather<span class="_ _f"> </span>than<span class="_ _f"> </span>their<span class="_ _c"> </span>original<span class="_ _c"> </span>order<span class="_ _c"> </span>in<span class="_ _f"> </span>a</div><div class="t m0 x1 hb y10b ff4 fs6 fc0 sc0 ls0 ws0">p<span class="_ _3"></span>rogram<span class="_ _f"> </span>executed<span class="_ _f"> </span>in<span class="_ _c"> </span>a<span class="_ _f"> </span>unit<span class="_ _f"> </span>of<span class="_ _f"> </span>time</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">35/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf28" class="pf w0 h0" data-page-no="28"><div class="pc pc28 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Instruction<span class="_ _9"> </span>Pip<span class="_ _b"></span>eling<span class="_ _45"> </span>1/3</div><div class="t m0 x1 hb y10c ff7 fs6 fc0 sc0 ls0 ws0">Out-of-o<span class="_ _3"></span>rder<span class="_ _f"> </span>execution<span class="_ _f"> </span><span class="ff4">on<span class="_ _f"> </span>a<span class="_ _f"> </span></span>scala<span class="_ _3"></span>r<span class="_ _f"> </span>p<span class="_ _3"></span>ro<span class="_ _b"></span>cesso<span class="_ _3"></span>r<span class="_ _15"> </span><span class="ff4">(single<span class="_ _f"> </span>instruction<span class="_ _f"> </span>at<span class="_ _f"> </span>a<span class="_ _c"> </span>time)<span class="_ _f"> </span>is</span></div><div class="t m0 x1 hb y10d ff4 fs6 fc0 sc0 ls0 ws0">implemented<span class="_ _f"> </span>through<span class="_ _c"> </span><span class="ff1">instruction<span class="_ _7"> </span>pip<span class="_ _b"></span>eling<span class="_ _f"> </span></span>which<span class="_ _f"> </span>consists<span class="_ _c"> </span>in<span class="_ _f"> </span>dividing<span class="_ _f"> </span>instructions<span class="_ _c"> </span>into</div><div class="t m0 x1 hb y10e ff4 fs6 fc0 sc0 ls0 ws0">stages<span class="_ _f"> </span>performed<span class="_ _c"> </span>by<span class="_ _c"> </span>different<span class="_ _f"> </span>p<span class="_ _3"></span>ro<span class="_ _b"></span>cessor<span class="_ _c"> </span>units,<span class="_ _f"> </span>allo<span class="_ _3"></span>wing<span class="_ _f"> </span>different<span class="_ _f"> </span>pa<span class="_ _3"></span>rts<span class="_ _f"> </span>of<span class="_ _c"> </span>instructions<span class="_ _f"> </span>to</div><div class="t m0 x1 hb y10f ff4 fs6 fc0 sc0 ls0 ws0">b<span class="_ _b"></span>e<span class="_ _c"> </span>processed<span class="_ _f"> </span>in<span class="_ _f"> </span>pa<span class="_ _3"></span>rallel</div><div class="t m0 x1 hb y110 ff7 fs6 fc0 sc0 ls0 ws0">Instruction<span class="_ _f"> </span>pipeling<span class="_ _f"> </span>breaks<span class="_ _c"> </span>up<span class="_ _f"> </span>the<span class="_ _c"> </span>processing<span class="_ _f"> </span>of<span class="_ _f"> </span>instructions<span class="_ _f"> </span>into<span class="_ _c"> </span>several<span class="_ _f"> </span>steps<span class="ff4">,<span class="_ _f"> </span>allo<span class="_ _3"></span>wing</span></div><div class="t m0 x1 hb y111 ff4 fs6 fc0 sc0 ls0 ws0">the<span class="_ _c"> </span>processor<span class="_ _c"> </span>to<span class="_ _c"> </span>avoid<span class="_ _f"> </span>stalls<span class="_ _c"> </span>that<span class="_ _c"> </span>o<span class="_ _b"></span>ccur<span class="_ _c"> </span>when<span class="_ _f"> </span>the<span class="_ _c"> </span>data<span class="_ _c"> </span>needed<span class="_ _f"> </span>to<span class="_ _c"> </span>execute<span class="_ _f"> </span>an<span class="_ _c"> </span>instruction</div><div class="t m0 x1 hb y112 ff4 fs6 fc0 sc0 ls0 ws0">is<span class="_ _f"> </span>not<span class="_ _c"> </span>immediately<span class="_ _f"> </span>available.<span class="_ _15"> </span>The<span class="_ _f"> </span>p<span class="_ _3"></span>ro<span class="_ _b"></span>cessor<span class="_ _c"> </span>avoid<span class="_ _f"> </span>stalls<span class="_ _c"> </span>by<span class="_ _c"> </span>filling<span class="_ _f"> </span>slots<span class="_ _f"> </span>with<span class="_ _f"> </span>other</div><div class="t m0 x1 hb y113 ff4 fs6 fc0 sc0 ls0 ws0">instructions<span class="_ _f"> </span>that<span class="_ _c"> </span>are<span class="_ _c"> </span>ready</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">36/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf29" class="pf w0 h0" data-page-no="29"><div class="pc pc29 w0 h0"><img class="bi x0 y0 w1 h1" alt="" 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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Instruction<span class="_ _9"> </span>Pip<span class="_ _b"></span>eling<span class="_ _45"> </span>2/3</div><div class="t m0 x30 hb y114 ff1 fs6 fc0 sc0 ls0 ws0">F<span class="_ _3"></span>etch:<span class="_ _6"> </span><span class="ff4">The<span class="_ _f"> </span>p<span class="_ _3"></span>ro<span class="_ _b"></span>cessor<span class="_ _c"> </span>retrieves<span class="_ _f"> </span>an<span class="_ _c"> </span>instruction<span class="_ _f"> </span>from<span class="_ _f"> </span>memo<span class="_ _3"></span>ry</span></div><div class="t m0 x5d hb y115 ff1 fs6 fc0 sc0 ls0 ws0">Deco<span class="_ _b"></span>de:<span class="_ _6"> </span><span class="ff4">Instruction<span class="_ _c"> </span>interpretation<span class="_ _c"> </span>and<span class="_ _f"> </span>prepa<span class="_ _3"></span>ration<span class="_ _c"> </span>for<span class="_ _c"> </span>execution,<span class="_ _f"> </span>determining</span></div><div class="t m0 x56 hb y116 ff4 fs6 fc0 sc0 ls0 ws0">what<span class="_ _f"> </span>operations<span class="_ _f"> </span>it<span class="_ _f"> </span>calls<span class="_ _c"> </span>for</div><div class="t m0 x6 hb y117 ff1 fs6 fc0 sc0 ls0 ws0">Execute:<span class="_ _6"> </span><span class="ff4">The<span class="_ _f"> </span>p<span class="_ _3"></span>ro<span class="_ _b"></span>cesso<span class="_ _3"></span>r<span class="_ _f"> </span>ca<span class="_ _3"></span>rries<span class="_ _f"> </span>out<span class="_ _f"> </span>the<span class="_ _c"> </span>instruction</span></div><div class="t m0 x4 hb y118 ff1 fs6 fc0 sc0 ls0 ws0">Memo<span class="_ _3"></span>ry<span class="_ _7"> </span>Access:<span class="_ _d"> </span><span class="ff4">Reading<span class="_ _f"> </span>from<span class="_ _f"> </span>o<span class="_ _3"></span>r<span class="_ _f"> </span>writing<span class="_ _c"> </span>to<span class="_ _f"> </span>memory<span class="_ _c"> </span>(if<span class="_ _f"> </span>needed)</span></div><div class="t m0 x5 hb y119 ff1 fs6 fc0 sc0 ls0 ws0">W<span class="_ _3"></span>rite-back:<span class="_ _6"> </span><span class="ff4">The<span class="_ _f"> </span>results<span class="_ _f"> </span>of<span class="_ _c"> </span>the<span class="_ _f"> </span>instruction<span class="_ _f"> </span>execution<span class="_ _f"> </span>a<span class="_ _3"></span>re<span class="_ _f"> </span>written<span class="_ _c"> </span>back<span class="_ _f"> </span>to<span class="_ _f"> </span>the</span></div><div class="t m0 x56 hb y11a ff4 fs6 fc0 sc0 ls0 ws0">p<span class="_ _3"></span>ro<span class="_ _b"></span>cesso<span class="_ _3"></span>r’s<span class="_ _f"> </span>registers<span class="_ _f"> </span>o<span class="_ _3"></span>r<span class="_ _f"> </span>memo<span class="_ _3"></span>ry</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">37/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf2a" class="pf w0 h0" data-page-no="2a"><div class="pc pc2a w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Instruction<span class="_ _9"> </span>Pip<span class="_ _b"></span>eling<span class="_ _45"> </span>3/3</div><div class="t m0 x5e h6 y11b ff1 fs4 fc0 sc0 ls0 ws0">Microa<span class="_ _3"></span>rchitecture</div><div class="t m0 x5f h6 y11c ff1 fs4 fc0 sc0 ls0 ws0">Pip<span class="_ _b"></span>eline</div><div class="t m0 x50 h6 y11d ff1 fs4 fc0 sc0 ls0 ws0">stages</div><div class="t m0 x5e h6 y11e ff6 fs4 fc0 sc0 ls0 ws0">Core<span class="_ _46"> </span><span class="ff4">14</span></div><div class="t m0 x5e h6 y11f ff6 fs4 fc0 sc0 ls0 ws0">Bonnell<span class="_ _47"> </span><span class="ff4">16</span></div><div class="t m0 x5e h6 y120 ff6 fs4 fc0 sc0 ls0 ws0">Sandy<span class="_ _d"> </span>Bridge<span class="_ _48"> </span><span class="ff4">14</span></div><div class="t m0 x5e h6 y121 ff6 fs4 fc0 sc0 ls0 ws0">Silvermont<span class="_ _49"> </span><span class="ff4">14<span class="_ _c"> </span>to<span class="_ _c"> </span>17</span></div><div class="t m0 x5e h6 y122 ff6 fs4 fc0 sc0 ls0 ws0">Haswell<span class="_ _47"> </span><span class="ff4">14</span></div><div class="t m0 x5e h6 y123 ff6 fs4 fc0 sc0 ls0 ws0">Skylake<span class="_ _47"> </span><span class="ff4">14</span></div><div class="t m0 x5e h6 y124 ff6 fs4 fc0 sc0 ls0 ws0">Kabylake<span class="_ _4a"> </span><span class="ff4">14</span></div><div class="t m0 x1 hb y125 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span><span class="ff7">pipeline<span class="_ _f"> </span>efficiency<span class="_ _15"> </span></span>is<span class="_ _f"> </span>affected<span class="_ _f"> </span>b<span class="_ _3"></span>y</div><div class="t m0 x17 hb y126 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff1">Instruction<span class="_ _7"> </span>stalls<span class="ff4">,<span class="_ _f"> </span>e.g.<span class="_ _15"> </span>cache<span class="_ _f"> </span>miss,<span class="_ _c"> </span>an<span class="_ _f"> </span>execution<span class="_ _f"> </span>unit<span class="_ _c"> </span>not<span class="_ _f"> </span>available,<span class="_ _f"> </span>etc.</span></span></div><div class="t m0 x17 hb y127 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff1">Bad<span class="_ _7"> </span>sp<span class="_ _b"></span>eculation<span class="ff4">,<span class="_ _c"> </span>branch<span class="_ _c"> </span>misprediction</span></span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">38/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf2b" class="pf w0 h0" data-page-no="2b"><div class="pc pc2b w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Instruction-Level<span class="_ _9"> </span>P<span class="_ _3"></span>a<span class="_ _3"></span>rallelism<span class="_ _9"> </span>(<span class="ff11">ILP</span>)<span class="_ _4b"> </span>1/2</div><div class="t m0 x1 hb y27 ff4 fs6 fc0 sc0 ls0 ws0">A<span class="_ _f"> </span><span class="ff1">superscalar<span class="_ _f"> </span>processor<span class="_ _c"> </span></span>is<span class="_ _f"> </span>a<span class="_ _f"> </span>t<span class="_ _3"></span>yp<span class="_ _b"></span>e<span class="_ _f"> </span>of<span class="_ _c"> </span>microprocessor<span class="_ _c"> </span>architecture<span class="_ _c"> </span>that<span class="_ _f"> </span>allo<span class="_ _3"></span>ws<span class="_ _f"> </span>for<span class="_ _c"> </span>the</div><div class="t m0 x1 hb y28 ff4 fs6 fc0 sc0 ls0 ws0">execution<span class="_ _f"> </span>of<span class="_ _c"> </span><span class="ff7">multiple<span class="_ _f"> </span>instructions<span class="_ _f"> </span>in<span class="_ _c"> </span>parallel<span class="_ _c"> </span>during<span class="_ _f"> </span>a<span class="_ _f"> </span>single<span class="_ _c"> </span>clo<span class="_ _b"></span>ck<span class="_ _f"> </span>cycle</span>.<span class="_ _15"> </span>This<span class="_ _f"> </span>is</div><div class="t m0 x1 hb yd2 ff4 fs6 fc0 sc0 ls0 ws0">achieved<span class="_ _f"> </span>b<span class="_ _3"></span>y<span class="_ _f"> </span>inco<span class="_ _3"></span>rp<span class="_ _b"></span>o<span class="_ _3"></span>rating<span class="_ _f"> </span>multiple<span class="_ _f"> </span>execution<span class="_ _c"> </span>units<span class="_ _f"> </span>within<span class="_ _f"> </span>the<span class="_ _c"> </span>processor</div><div class="t m0 x1 hb y128 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span>concept<span class="_ _c"> </span>should<span class="_ _f"> </span>not<span class="_ _f"> </span>be<span class="_ _f"> </span>confused<span class="_ _f"> </span>with<span class="_ _f"> </span><span class="ff7">instruction<span class="_ _c"> </span>pip<span class="_ _b"></span>elining</span>,<span class="_ _f"> </span>which<span class="_ _c"> </span>decomp<span class="_ _b"></span>ose<span class="_ _f"> </span>the</div><div class="t m0 x1 hb y129 ff4 fs6 fc0 sc0 ls0 ws0">instruction<span class="_ _f"> </span>p<span class="_ _3"></span>ro<span class="_ _b"></span>cessing<span class="_ _c"> </span>in<span class="_ _f"> </span>stages.<span class="_ _15"> </span>Mo<span class="_ _b"></span>dern<span class="_ _f"> </span>p<span class="_ _3"></span>ro<span class="_ _b"></span>cesso<span class="_ _3"></span>rs<span class="_ _f"> </span>combine<span class="_ _f"> </span>both<span class="_ _f"> </span>techniques<span class="_ _f"> </span>to</div><div class="t m0 x1 hb y12a ff4 fs6 fc0 sc0 ls0 ws0">imp<span class="_ _3"></span>rove<span class="_ _f"> </span>the<span class="_ _f"> </span>IPC</div><div class="t m0 x1 hb y12b ff1 fs6 fc0 sc0 ls0 ws0">Instruction-Level<span class="_ _f"> </span>Pa<span class="_ _3"></span>rallelism<span class="_ _7"> </span>(ILP)<span class="_ _f"> </span><span class="ff4">is<span class="_ _c"> </span>a<span class="_ _f"> </span>measure<span class="_ _f"> </span>of<span class="_ _c"> </span>how<span class="_ _c"> </span>many<span class="_ _f"> </span>instructions<span class="_ _f"> </span>in<span class="_ _f"> </span>a</span></div><div class="t m0 x1 hb y12c ff4 fs6 fc0 sc0 ls0 ws0">p<span class="_ _3"></span>rogram<span class="_ _f"> </span>can<span class="_ _f"> </span>be<span class="_ _f"> </span>executed<span class="_ _f"> </span>simultaneously<span class="_ _f"> </span>b<span class="_ _3"></span>y<span class="_ _f"> </span>issuing<span class="_ _c"> </span><span class="ff7">indep<span class="_ _b"></span>endent<span class="_ _9"> </span></span>instructions<span class="_ _f"> </span>in</div><div class="t m0 x1 hb y12d ff4 fs6 fc0 sc0 ls0 ws0">sequence.</div><div class="t m0 x1 hb y12e ff7 fs6 fc0 sc0 ls0 ws0">ILP<span class="_ _9"> </span><span class="ff4">is<span class="_ _c"> </span>achieved<span class="_ _c"> </span>with<span class="_ _f"> </span></span>out-of-o<span class="_ _3"></span>rder<span class="_ _c"> </span>execution<span class="_ _f"> </span><span class="ff4">or<span class="_ _c"> </span>with<span class="_ _c"> </span>the<span class="_ _c"> </span></span>SIMT<span class="_ _d"> </span><span class="ff4">p<span class="_ _3"></span>rogramming<span class="_ _f"> </span>model<span class="_ _f"> </span>(see</span></div><div class="t m0 x1 hb y12f ff4 fs6 fc0 sc0 ls0 ws0">next<span class="_ _f"> </span>slides)</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">39/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf2c" class="pf w0 h0" data-page-no="2c"><div class="pc pc2c w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Instruction-Level<span class="_ _9"> </span>P<span class="_ _3"></span>a<span class="_ _3"></span>rallelism<span class="_ _9"> </span>(<span class="ff11">ILP</span>)<span class="_ _4b"> </span>2/2</div><div class="t m0 x2b he y130 ff11 fs7 fc6 sc0 ls0 ws0">for<span class="_ _15"> </span><span class="ffa fc0">(</span><span class="fc7">int<span class="_ _15"> </span><span class="ffa fc0">i<span class="_ _15"> </span><span class="fc8">=<span class="_ _9"> </span>0</span>;<span class="_ _15"> </span>i<span class="_ _15"> </span><span class="fc8"><<span class="_ _15"> </span></span>N;<span class="_ _15"> </span>i<span class="fc8">++</span>)<span class="_ _15"> </span><span class="ff17 fc9">//<span class="_ _15"> </span>with<span class="_ _15"> </span>no<span class="_ _15"> </span>optimizations,<span class="_ _15"> </span>the<span class="_ _15"> </span>loop</span></span></span></div><div class="t m0 x6 he y131 ffa fs7 fc0 sc0 ls0 ws0">C[i]<span class="_ _15"> </span><span class="fc8">=<span class="_ _15"> </span></span>A[i]<span class="_ _15"> </span><span class="fc8">*<span class="_ _9"> </span></span>B[i];<span class="_ _2e"> </span><span class="ff17 fc9">//<span class="_ _15"> </span>is<span class="_ _9"> </span>executed<span class="_ _15"> </span>in<span class="_ _15"> </span>sequence</span></div><div class="t m0 x1 hb y132 ff4 fs6 fc0 sc0 ls0 ws0">can<span class="_ _f"> </span>be<span class="_ _f"> </span>rewritten<span class="_ _f"> </span>as:</div><div class="t m0 x2b he y133 ff11 fs7 fc6 sc0 ls0 ws0">for<span class="_ _15"> </span><span class="ffa fc0">(</span><span class="fc7">int<span class="_ _15"> </span><span class="ffa fc0">i<span class="_ _15"> </span><span class="fc8">=<span class="_ _9"> </span>0</span>;<span class="_ _15"> </span>i<span class="_ _15"> </span><span class="fc8"><<span class="_ _15"> </span></span>N;<span class="_ _15"> </span>i<span class="_ _15"> </span><span class="fc8">+=<span class="_ _15"> </span>4</span>)<span class="_ _15"> </span>{<span class="_ _4c"> </span><span class="ff17 fc9">//<span class="_ _15"> </span>four<span class="_ _15"> </span>independent<span class="_ _15"> </span>multiplications</span></span></span></div><div class="t m0 x6 he y134 ffa fs7 fc0 sc0 ls0 ws0">C[i]<span class="_ _4c"> </span><span class="fc8">=<span class="_ _15"> </span></span>A[i]<span class="_ _4c"> </span><span class="fc8">*<span class="_ _15"> </span></span>B[i];<span class="_ _4d"> </span><span class="ff17 fc9">//<span class="_ _15"> </span>per<span class="_ _15"> </span>iteration</span></div><div class="t m0 x6 he y135 ffa fs7 fc0 sc0 ls0 ws0">C[i<span class="_ _15"> </span><span class="fc8">+<span class="_ _15"> </span>1</span>]<span class="_ _15"> </span><span class="fc8">=<span class="_ _9"> </span></span>A[i<span class="_ _15"> </span><span class="fc8">+<span class="_ _15"> </span>1</span>]<span class="_ _15"> </span><span class="fc8">*<span class="_ _15"> </span></span>B[i<span class="_ _15"> </span><span class="fc8">+<span class="_ _15"> </span>1</span>];<span class="_ _25"> </span><span class="ff17 fc9">//<span class="_ _15"> </span>A,<span class="_ _15"> </span>B,<span class="_ _15"> </span>C<span class="_ _15"> </span>are<span class="_ _15"> </span>not<span class="_ _15"> </span>alias</span></div><div class="t m0 x6 he y136 ffa fs7 fc0 sc0 ls0 ws0">C[i<span class="_ _15"> </span><span class="fc8">+<span class="_ _15"> </span>2</span>]<span class="_ _15"> </span><span class="fc8">=<span class="_ _9"> </span></span>A[i<span class="_ _15"> </span><span class="fc8">+<span class="_ _15"> </span>2</span>]<span class="_ _15"> </span><span class="fc8">*<span class="_ _15"> </span></span>B[i<span class="_ _15"> </span><span class="fc8">+<span class="_ _15"> </span>2</span>];</div><div class="t m0 x6 he y137 ffa fs7 fc0 sc0 ls0 ws0">C[i<span class="_ _15"> </span><span class="fc8">+<span class="_ _15"> </span>3</span>]<span class="_ _15"> </span><span class="fc8">=<span class="_ _9"> </span></span>A[i<span class="_ _15"> </span><span class="fc8">+<span class="_ _15"> </span>3</span>]<span class="_ _15"> </span><span class="fc8">*<span class="_ _15"> </span></span>B[i<span class="_ _15"> </span><span class="fc8">+<span class="_ _15"> </span>3</span>];</div><div class="t m0 x2b he y138 ffa fs7 fc0 sc0 ls0 ws0">}</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">40/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Instruction-Level<span class="_ _9"> </span>P<span class="_ _3"></span>a<span class="_ _3"></span>rallelism<span class="_ _9"> </span>and<span class="_ _9"> </span>Little’s<span class="_ _9"> </span>Law</div><div class="t m0 x1 hb y27 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span><span class="ff1">Little’s<span class="_ _f"> </span>Law<span class="_ _c"> </span></span>expresses<span class="_ _c"> </span>the<span class="_ _f"> </span>relation<span class="_ _f"> </span>betw<span class="_ _3"></span>een<span class="_ _f"> </span><span class="ff7">latency<span class="_ _15"> </span></span>and<span class="_ _c"> </span><span class="ff7">throughput</span>.<span class="_ _d"> </span>The</div><div class="t m0 x1 hb y28 ff7 fs6 fc0 sc0 ls0 ws0">throughput<span class="_ _9"> </span><span class="ff4">of<span class="_ _f"> </span>a<span class="_ _f"> </span>system<span class="_ _c"> </span><span class="ff18">λ<span class="_ _f"> </span></span>is<span class="_ _f"> </span>equal<span class="_ _c"> </span>to<span class="_ _f"> </span>the<span class="_ _f"> </span>number<span class="_ _f"> </span>of<span class="_ _f"> </span>elements<span class="_ _f"> </span>in<span class="_ _c"> </span>the<span class="_ _f"> </span>system<span class="_ _f"> </span>divided<span class="_ _c"> </span>by</span></div><div class="t m0 x1 hb yd2 ff4 fs6 fc0 sc0 ls0 ws0">the<span class="_ _f"> </span>average<span class="_ _c"> </span>time<span class="_ _f"> </span>sp<span class="_ _b"></span>ent<span class="_ _c"> </span>(<span class="ff7">latency<span class="_ _27"></span></span>)<span class="_ _f"> </span><span class="ff8">W<span class="_ _d"> </span></span>for<span class="_ _c"> </span>each<span class="_ _f"> </span>element<span class="_ _f"> </span>in<span class="_ _c"> </span>the<span class="_ _f"> </span>system:</div><div class="t m0 x60 h8 y139 ff3 fs2 fc0 sc0 ls0 ws0">L<span class="_ _f"> </span><span class="ff19">=<span class="_ _7"> </span><span class="ff1a">λ</span></span>W<span class="_ _1b"> </span><span class="ffc">→<span class="_ _32"> </span><span class="ff1a">λ<span class="_ _f"> </span><span class="ff19">=</span></span></span></div><div class="t m0 x1c h13 y13a ff3 fs2 fc0 sc0 ls0 ws0">L</div><div class="t m0 x28 h13 y13b ff3 fs2 fc0 sc0 ls0 ws0">W</div><div class="t m0 x17 hb y13c ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff8">L<span class="ff4">:<span class="_ _15"> </span>average<span class="_ _f"> </span>numb<span class="_ _b"></span>er<span class="_ _c"> </span>of<span class="_ _f"> </span>customers<span class="_ _f"> </span>in<span class="_ _c"> </span>a<span class="_ _f"> </span>store</span></span></div><div class="t m0 x17 hb y13d ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff18">λ<span class="ff4">:<span class="_ _15"> </span>arrival<span class="_ _c"> </span>rate<span class="_ _f"> </span>(<span class="ff7">throughput<span class="_ _0"></span></span>)</span></span></div><div class="t m0 x17 hb y13e ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff8">W<span class="_ _28"> </span><span class="ff4">:<span class="_ _9"> </span>average<span class="_ _f"> </span>time<span class="_ _f"> </span>sp<span class="_ _b"></span>ent<span class="_ _c"> </span>(<span class="ff7">latency<span class="_ _27"></span></span>)</span></span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">41/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf2e" class="pf w0 h0" data-page-no="2e"><div class="pc pc2e w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Data-Level<span class="_ _9"> </span>P<span class="_ _3"></span>a<span class="_ _3"></span>rallelism<span class="_ _9"> </span>(<span class="ff11">DLP</span>)<span class="_ _9"> </span>and<span class="_ _9"> </span>Vecto<span class="_ _3"></span>r<span class="_ _9"> </span>Instructions<span class="_ _9"> </span>(<span class="ff11">SIMD</span>)</div><div class="t m0 x1 hb y27 ff1 fs6 fc0 sc0 ls0 ws0">Data-Level<span class="_ _f"> </span>Pa<span class="_ _3"></span>rallelism<span class="_ _7"> </span>(DLP)<span class="_ _f"> </span><span class="ff4">refers<span class="_ _c"> </span>to<span class="_ _f"> </span>the<span class="_ _f"> </span>execution<span class="_ _c"> </span>of<span class="_ _f"> </span>the<span class="_ _f"> </span>same<span class="_ _f"> </span>operation<span class="_ _f"> </span>on</span></div><div class="t m0 x1 hb y28 ff4 fs6 fc0 sc0 ls0 ws0">multiple<span class="_ _f"> </span>data<span class="_ _c"> </span>in<span class="_ _f"> </span>pa<span class="_ _3"></span>rallel</div><div class="t m0 x1 hb y13f ff7 fs6 fc0 sc0 ls0 ws0">V<span class="_ _3"></span>ector<span class="_ _c"> </span>processors<span class="_ _9"> </span><span class="ff4">o<span class="_ _3"></span>r<span class="_ _f"> </span><span class="ff7">a<span class="_ _3"></span>rray<span class="_ _c"> </span>processors<span class="_ _9"> </span><span class="ff4">p<span class="_ _3"></span>rovide<span class="_ _f"> </span>SIMD<span class="_ _f"> </span>(<span class="ff7">Single<span class="_ _c"> </span>Instruction-Multiple<span class="_ _f"> </span>Data<span class="_ _b"></span></span>)</span></span></span></div><div class="t m0 x1 hb y140 ff4 fs6 fc0 sc0 ls0 ws0">o<span class="_ _3"></span>r<span class="_ _f"> </span>vector<span class="_ _c"> </span>instructions<span class="_ _f"> </span>fo<span class="_ _3"></span>r<span class="_ _f"> </span>exploiting<span class="_ _f"> </span>data-level<span class="_ _c"> </span>parallelism</div><div class="t m0 x1 hb y141 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span>popular<span class="_ _c"> </span>vector<span class="_ _c"> </span>instruction<span class="_ _f"> </span>sets<span class="_ _f"> </span>a<span class="_ _3"></span>re:</div><div class="t m0 x61 h6 y142 ff11 fs4 fc0 sc0 ls0 ws0">MMX<span class="_ _4e"> </span><span class="ff7">MultiMedia<span class="_ _c"> </span>eXtension<span class="ff4">.<span class="_ _9"> </span>80-bit<span class="_ _c"> </span>width<span class="_ _c"> </span>(Intel,<span class="_ _c"> </span>AMD)</span></span></div><div class="t m0 x61 h6 y143 ff11 fs4 fc0 sc0 ls0 ws0">SSE<span class="_ _4e"> </span><span class="ff4">(SSE2,<span class="_ _c"> </span>SSE3,<span class="_ _c"> </span>SSE4)<span class="_ _c"> </span><span class="ff7">Streaming<span class="_ _c"> </span>SIMD<span class="_ _c"> </span>Extensions</span>.<span class="_ _7"> </span>128-bit<span class="_ _c"> </span>width<span class="_ _c"> </span>(Intel,<span class="_ _c"> </span>AMD)</span></div><div class="t m0 x61 h6 y144 ff11 fs4 fc0 sc0 ls0 ws0">AVX<span class="_ _4e"> </span><span class="ff4">(A<span class="_ _8"></span>VX,<span class="_ _c"> </span>A<span class="_ _5"></span>VX2,<span class="_ _c"> </span>A<span class="_ _8"></span>VX-512)<span class="_ _c"> </span><span class="ff7">Advanced<span class="_ _c"> </span>V<span class="_ _3"></span>ector<span class="_ _c"> </span>Extensions<span class="ff4">.<span class="_ _7"> </span>512-bit<span class="_ _c"> </span>width<span class="_ _c"> </span>(Intel,<span class="_ _c"> </span>AMD)</span></span></span></div><div class="t m0 x62 h6 y145 ff11 fs4 fc0 sc0 ls0 ws0">NEON<span class="_ _4e"> </span><span class="ff7">Media<span class="_ _c"> </span>Processing<span class="_ _c"> </span>Engine<span class="ff4">.<span class="_ _15"> </span>128-bit<span class="_ _c"> </span>width<span class="_ _c"> </span>(ARM)</span></span></div><div class="t m0 x61 h6 y146 ff11 fs4 fc0 sc0 ls0 ws0">SVE<span class="_ _4e"> </span><span class="ff4">(SVE,<span class="_ _c"> </span>SVE2)<span class="_ _c"> </span><span class="ff7">Scalable<span class="_ _c"> </span>V<span class="_ _3"></span>ector<span class="_ _c"> </span>Extension<span class="ff4">.<span class="_ _7"> </span>128-2048<span class="_ _c"> </span>bit<span class="_ _c"> </span>width<span class="_ _c"> </span>(ARM)</span></span></span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">42/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf2f" class="pf w0 h0" data-page-no="2f"><div class="pc pc2f w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA4wAAAH/CAIAAACTgcSzAAAACXBIWXMAABYlAAAWJQFJUiTwAAAIXklEQVR42u3YsQ2CQBiG4TvDhdIZDJUTGENtwmYs4TgUDOEGVpRec3TM8EeeZ4SvevPl4TEmAAAI47MuFysAABCNSAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEA4JBrrVYAACCOUoonFQCAcEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAi1QQAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAESqCQAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAACIVAAARCoAAIhUAAD+R7fNNysAcFrf19sIEM39OeV87dv2S6m1ZhAAAELYAX7wFAR2USxfAAAAAElFTkSuQmCC"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Thread-Level<span class="_ _9"> </span>P<span class="_ _3"></span>a<span class="_ _3"></span>rallelism<span class="_ _9"> </span>(<span class="ff11">TLP</span>)</div><div class="t m0 x1 hb y147 ff4 fs6 fc0 sc0 ls0 ws0">A<span class="_ _f"> </span><span class="ff1">thread<span class="_ _c"> </span></span>is<span class="_ _f"> </span>a<span class="_ _f"> </span>single<span class="_ _c"> </span>sequential<span class="_ _f"> </span>execution<span class="_ _f"> </span>flo<span class="_ _3"></span>w<span class="_ _f"> </span>within<span class="_ _f"> </span>a<span class="_ _c"> </span>program<span class="_ _c"> </span>with<span class="_ _f"> </span>its<span class="_ _f"> </span>state</div><div class="t m0 x1 hb y148 ff4 fs6 fc0 sc0 ls0 ws0">(instructions,<span class="_ _f"> </span>data,<span class="_ _c"> </span>PC,<span class="_ _f"> </span>register<span class="_ _f"> </span>state,<span class="_ _c"> </span>and<span class="_ _f"> </span>so<span class="_ _f"> </span>on)</div><div class="t m0 x1 hb y149 ff1 fs6 fc0 sc0 ls0 ws0">Thread-level<span class="_ _f"> </span>parallelism<span class="_ _f"> </span>(<span class="ff11">TLP</span>)<span class="_ _f"> </span><span class="ff4">refers<span class="_ _f"> </span>to<span class="_ _c"> </span>the<span class="_ _f"> </span>execution<span class="_ _f"> </span>of<span class="_ _c"> </span>separate<span class="_ _c"> </span>computation</span></div><div class="t m0 x1 hb y14a ff7 fs6 fc0 sc0 ls0 ws0">“thread”<span class="_ _9"> </span><span class="ff4">on<span class="_ _f"> </span>different<span class="_ _f"> </span>p<span class="_ _3"></span>ro<span class="_ _b"></span>cessing<span class="_ _c"> </span>units<span class="_ _f"> </span>(e.g.<span class="_ _15"> </span>CPU<span class="_ _f"> </span>cores)</span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">43/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf30" class="pf w0 h0" data-page-no="30"><div class="pc pc30 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Single<span class="_ _9"> </span>Instruction<span class="_ _9"> </span>Multiple<span class="_ _9"> </span>Threads<span class="_ _9"> </span>(<span class="ff11">SIMT</span>)</div><div class="t m0 x1 hb y14b ff4 fs6 fc0 sc0 ls0 ws0">An<span class="_ _f"> </span>alternative<span class="_ _c"> </span>approach<span class="_ _c"> </span>to<span class="_ _f"> </span>the<span class="_ _f"> </span>classical<span class="_ _c"> </span>data-level<span class="_ _f"> </span>parallelism<span class="_ _c"> </span>is<span class="_ _f"> </span><span class="ff1">Single<span class="_ _f"> </span>Instruction</span></div><div class="t m0 x1 hb y14c ff1 fs6 fc0 sc0 ls0 ws0">Multiple<span class="_ _f"> </span>Threads<span class="_ _7"> </span>(SIMT)<span class="ff4">,<span class="_ _f"> </span>where<span class="_ _f"> </span>multiple<span class="_ _c"> </span>threads<span class="_ _f"> </span>execute<span class="_ _f"> </span>the<span class="_ _f"> </span>same<span class="_ _c"> </span>instruction</span></div><div class="t m0 x1 hb y14d ff4 fs6 fc0 sc0 ls0 ws0">simultaneously<span class="_ _8"></span>,<span class="_ _f"> </span>with<span class="_ _f"> </span>each<span class="_ _c"> </span>thread<span class="_ _f"> </span>op<span class="_ _b"></span>erating<span class="_ _f"> </span>on<span class="_ _c"> </span>different<span class="_ _f"> </span>data.</div><div class="t m0 x1 hb y14e ff4 fs6 fc0 sc0 ls0 ws0">GPUs<span class="_ _f"> </span>a<span class="_ _3"></span>re<span class="_ _f"> </span>successful<span class="_ _c"> </span>examples<span class="_ _f"> </span>of<span class="_ _f"> </span>SIMT<span class="_ _f"> </span>a<span class="_ _3"></span>rchitectures.</div><div class="t m0 x1 hb y14f ff1 fs6 fc0 sc0 ls0 ws0">SIMT<span class="_ _f"> </span><span class="ff4">can<span class="_ _c"> </span>b<span class="_ _b"></span>e<span class="_ _f"> </span>thought<span class="_ _c"> </span>of<span class="_ _f"> </span>as<span class="_ _f"> </span>an<span class="_ _c"> </span>evolution<span class="_ _f"> </span>of<span class="_ _f"> </span><span class="ff7">SIMD<span class="_ _7"> </span></span>(Single<span class="_ _f"> </span>Instruction<span class="_ _f"> </span>Multiple<span class="_ _c"> </span>Data).</span></div><div class="t m0 x1 hb y150 ff7 fs6 fc0 sc0 ls0 ws0">SIMD<span class="_ _7"> </span><span class="ff4">requires<span class="_ _f"> </span>that<span class="_ _f"> </span>all<span class="_ _c"> </span>data<span class="_ _f"> </span>processed<span class="_ _f"> </span>b<span class="_ _3"></span>y<span class="_ _f"> </span>the<span class="_ _f"> </span>instruction<span class="_ _c"> </span>b<span class="_ _b"></span>e<span class="_ _f"> </span>of<span class="_ _c"> </span>the<span class="_ _f"> </span>same<span class="_ _f"> </span>t<span class="_ _3"></span>yp<span class="_ _b"></span>e<span class="_ _f"> </span>and</span></div><div class="t m0 x1 hb y151 ff4 fs6 fc0 sc0 ls0 ws0">requires<span class="_ _f"> </span>no<span class="_ _c"> </span>dep<span class="_ _b"></span>endencies<span class="_ _f"> </span>o<span class="_ _3"></span>r<span class="_ _f"> </span>inter-thread<span class="_ _c"> </span>communication.<span class="_ _d"> </span>On<span class="_ _f"> </span>the<span class="_ _c"> </span>other<span class="_ _f"> </span>hand,<span class="_ _f"> </span><span class="ff1">SIMT<span class="_ _c"> </span></span>is</div><div class="t m0 x1 hb y152 ff4 fs6 fc0 sc0 ls0 ws0">mo<span class="_ _3"></span>re<span class="_ _f"> </span>flexible<span class="_ _f"> </span>and<span class="_ _c"> </span>do<span class="_ _b"></span>es<span class="_ _f"> </span>not<span class="_ _c"> </span>have<span class="_ _f"> </span>these<span class="_ _f"> </span>restrictions.<span class="_ _15"> </span>Each<span class="_ _f"> </span>thread<span class="_ _f"> </span>has<span class="_ _c"> </span>access<span class="_ _f"> </span>to<span class="_ _f"> </span>its<span class="_ _c"> </span>own</div><div class="t m0 x1 hb y153 ff4 fs6 fc0 sc0 ls0 ws0">memo<span class="_ _3"></span>ry<span class="_ _f"> </span>and<span class="_ _f"> </span>can<span class="_ _c"> </span>op<span class="_ _b"></span>erate<span class="_ _f"> </span>indep<span class="_ _b"></span>endently<span class="_ _8"></span>.</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">44/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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||
<div id="pf31" class="pf w0 h0" data-page-no="31"><div class="pc pc31 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">RISC,<span class="_ _9"> </span>CISC<span class="_ _9"> </span>Instruction<span class="_ _9"> </span>Sets</div><div class="t m0 x1 hb y10d ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span><span class="ff1">Instruction<span class="_ _f"> </span>Set<span class="_ _7"> </span>Architecture<span class="_ _f"> </span></span>(ISA)<span class="_ _c"> </span>is<span class="_ _f"> </span>an<span class="_ _f"> </span>abstract<span class="_ _f"> </span>model<span class="_ _f"> </span>of<span class="_ _f"> </span>the<span class="_ _c"> </span>CPU<span class="_ _f"> </span>to</div><div class="t m0 x1 hb y10e ff4 fs6 fc0 sc0 ls0 ws0">rep<span class="_ _3"></span>resent<span class="_ _f"> </span>its<span class="_ _f"> </span>behavior.<span class="_ _15"> </span>It<span class="_ _f"> </span>consists<span class="_ _c"> </span>of<span class="_ _f"> </span>addressing<span class="_ _f"> </span>mo<span class="_ _b"></span>des,<span class="_ _c"> </span>instructions,<span class="_ _f"> </span>data<span class="_ _f"> </span>t<span class="_ _3"></span>yp<span class="_ _b"></span>es,</div><div class="t m0 x1 hb y10f ff4 fs6 fc0 sc0 ls0 ws0">registers,<span class="_ _f"> </span>memo<span class="_ _3"></span>ry<span class="_ _f"> </span>a<span class="_ _3"></span>rchitecture,<span class="_ _f"> </span>interrupt,<span class="_ _f"> </span>etc.</div><div class="t m0 x1 hb y154 ff4 fs6 fc0 sc0 ls0 ws0">It<span class="_ _f"> </span>does<span class="_ _f"> </span>not<span class="_ _f"> </span>define<span class="_ _c"> </span>how<span class="_ _c"> </span>an<span class="_ _f"> </span>instruction<span class="_ _f"> </span>is<span class="_ _f"> </span>p<span class="_ _3"></span>ro<span class="_ _b"></span>cessed</div><div class="t m0 x1 hb y111 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span><span class="ff1">microa<span class="_ _3"></span>rchitecture<span class="_ _f"> </span><span class="ff4">(<span class="ff1b">µ</span>a<span class="_ _3"></span>rch)<span class="_ _f"> </span>is<span class="_ _c"> </span>the<span class="_ _f"> </span>implementation<span class="_ _f"> </span>of<span class="_ _f"> </span>an<span class="_ _c"> </span><span class="ff1">ISA<span class="_ _f"> </span></span>which<span class="_ _f"> </span>includes</span></span></div><div class="t m0 x1 hb y112 ff4 fs6 fc0 sc0 ls0 ws0">pip<span class="_ _b"></span>elines,<span class="_ _c"> </span>caches,<span class="_ _f"> </span>etc.</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">45/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf32" class="pf w0 h0" data-page-no="32"><div class="pc pc32 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">CISC</div><div class="t m0 x1 hb y27 ff1 fs6 fc0 sc0 ls0 ws0">Complex<span class="_ _f"> </span>Instruction<span class="_ _7"> </span>Set<span class="_ _7"> </span>Computer<span class="_ _7"> </span>(CISC)</div><div class="t m0 x17 hb y155 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">Complex<span class="_ _f"> </span>instructions<span class="_ _c"> </span>for<span class="_ _c"> </span>sp<span class="_ _b"></span>ecial<span class="_ _f"> </span>tasks<span class="_ _c"> </span>even<span class="_ _f"> </span>if<span class="_ _f"> </span>used<span class="_ _f"> </span>infrequently</span></div><div class="t m0 x17 hb y156 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">Assembly<span class="_ _f"> </span>instructions<span class="_ _c"> </span>follow<span class="_ _c"> </span>softw<span class="_ _3"></span>are.<span class="_ _9"> </span>Little<span class="_ _f"> </span>compiler<span class="_ _f"> </span>effo<span class="_ _3"></span>rt<span class="_ _f"> </span>fo<span class="_ _3"></span>r<span class="_ _f"> </span>translating</span></div><div class="t m0 x6 hb y157 ff4 fs6 fc0 sc0 ls0 ws0">high-level<span class="_ _f"> </span>language<span class="_ _c"> </span>into<span class="_ _f"> </span>assembly</div><div class="t m0 x17 hb y158 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">Initially<span class="_ _f"> </span>designed<span class="_ _c"> </span>for<span class="_ _c"> </span>saving<span class="_ _f"> </span>cost<span class="_ _f"> </span>of<span class="_ _c"> </span>computer<span class="_ _f"> </span>memory<span class="_ _c"> </span>and<span class="_ _f"> </span>disk<span class="_ _f"> </span>sto<span class="_ _3"></span>rage<span class="_ _f"> </span>(1960)</span></div><div class="t m0 x17 hb y159 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">High<span class="_ _f"> </span>number<span class="_ _f"> </span>of<span class="_ _f"> </span>instructions<span class="_ _f"> </span>with<span class="_ _c"> </span>different<span class="_ _f"> </span>size</span></div><div class="t m0 x17 hb y15a ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">Instructions<span class="_ _f"> </span>require<span class="_ _c"> </span>complex<span class="_ _f"> </span>micro-ops<span class="_ _f"> </span>deco<span class="_ _b"></span>ding<span class="_ _c"> </span>(translation)<span class="_ _f"> </span>fo<span class="_ _3"></span>r<span class="_ _f"> </span>exploiting<span class="_ _f"> </span>ILP</span></div><div class="t m0 x17 hb y15b ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">Multiple<span class="_ _f"> </span>lo<span class="_ _3"></span>w-level<span class="_ _f"> </span>instructions<span class="_ _c"> </span>p<span class="_ _b"></span>er<span class="_ _f"> </span>clo<span class="_ _b"></span>ck<span class="_ _c"> </span>but<span class="_ _f"> </span>with<span class="_ _f"> </span>high<span class="_ _c"> </span>latency</span></div><div class="t m0 x1 hb y15c ff7 fs6 fc0 sc0 ls0 ws0">Ha<span class="_ _3"></span>rdwa<span class="_ _3"></span>re<span class="_ _f"> </span>implications</div><div class="t m0 x17 hb y15d ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">High<span class="_ _f"> </span>number<span class="_ _f"> </span>of<span class="_ _f"> </span>transisto<span class="_ _3"></span>rs</span></div><div class="t m0 x17 hb y15e ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">Extra<span class="_ _f"> </span>logic<span class="_ _c"> </span>for<span class="_ _c"> </span>deco<span class="_ _b"></span>ding.<span class="_ _15"> </span>Heat<span class="_ _f"> </span>dissipation</span></div><div class="t m0 x17 hb y15f ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">Ha<span class="_ _3"></span>rd<span class="_ _f"> </span>to<span class="_ _f"> </span>scale</span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">46/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf33" class="pf w0 h0" data-page-no="33"><div class="pc pc33 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">RISC</div><div class="t m0 x1 hb y27 ff1 fs6 fc0 sc0 ls0 ws0">Reduced<span class="_ _f"> </span>Instruction<span class="_ _7"> </span>Set<span class="_ _7"> </span>Computer<span class="_ _7"> </span>(RISC)</div><div class="t m0 x17 hb y155 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">Simple<span class="_ _f"> </span>instructions</span></div><div class="t m0 x17 hb y156 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">Small<span class="_ _f"> </span>number<span class="_ _f"> </span>of<span class="_ _f"> </span>instructions<span class="_ _f"> </span>with<span class="_ _c"> </span>fixed<span class="_ _f"> </span>size</span></div><div class="t m0 x17 hb y157 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">1<span class="_ _f"> </span>clock<span class="_ _f"> </span>p<span class="_ _b"></span>er<span class="_ _c"> </span>instruction</span></div><div class="t m0 x17 hb y158 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">Assembly<span class="_ _f"> </span>instructions<span class="_ _c"> </span>do<span class="_ _b"></span>es<span class="_ _f"> </span>not<span class="_ _c"> </span>follow<span class="_ _c"> </span>softw<span class="_ _3"></span>are</span></div><div class="t m0 x17 hb y159 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">No<span class="_ _f"> </span>instruction<span class="_ _c"> </span>deco<span class="_ _b"></span>ding</span></div><div class="t m0 x1 hb y160 ff7 fs6 fc0 sc0 ls0 ws0">Ha<span class="_ _3"></span>rdwa<span class="_ _3"></span>re<span class="_ _f"> </span>implications</div><div class="t m0 x17 hb y161 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">High<span class="_ _f"> </span>ILP<span class="_ _8"></span>,<span class="_ _f"> </span>easy<span class="_ _f"> </span>to<span class="_ _c"> </span>schedule</span></div><div class="t m0 x17 hb y162 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">Small<span class="_ _f"> </span>number<span class="_ _f"> </span>of<span class="_ _f"> </span>transisto<span class="_ _3"></span>rs</span></div><div class="t m0 x17 hb y15d ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">Little<span class="_ _f"> </span>pow<span class="_ _3"></span>er<span class="_ _f"> </span>consumption</span></div><div class="t m0 x17 hb y15e ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">Easy<span class="_ _f"> </span>to<span class="_ _c"> </span>scale</span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">47/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf34" class="pf w0 h0" data-page-no="34"><div class="pc pc34 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Instruction<span class="_ _9"> </span>Set<span class="_ _9"> </span>Compa<span class="_ _3"></span>rison</div><div class="t m0 x1 hb y163 ff1 fs6 fc0 sc0 ls0 ws0">x86<span class="_ _f"> </span><span class="ff4">Instruction<span class="_ _c"> </span>set</span></div><div class="t m0 x2b he y164 ffa fs7 fc4 sc0 ls0 ws0">MOV<span class="_ _15"> </span><span class="fca">AX<span class="fc0">,<span class="_ _15"> </span><span class="fc8">15<span class="ff17 fc9">;<span class="_ _15"> </span>AH<span class="_ _9"> </span>=<span class="_ _15"> </span>00,<span class="_ _15"> </span>AL<span class="_ _15"> </span>=<span class="_ _15"> </span>0Fh</span></span></span></span></div><div class="t m0 x2b he y165 ffa fs7 fc4 sc0 ls0 ws0">AAA<span class="ff17 fc9">;<span class="_ _15"> </span>AH<span class="_ _15"> </span>=<span class="_ _15"> </span>01,<span class="_ _9"> </span>AL<span class="_ _15"> </span>=<span class="_ _15"> </span>05</span></div><div class="t m0 x2b he y166 ffa fs7 fc4 sc0 ls0 ws0">RET</div><div class="t m0 x63 hb y163 ff1 fs6 fc0 sc0 ls0 ws0">ARM<span class="_ _f"> </span><span class="ff4">Instruction<span class="_ _c"> </span>set</span></div><div class="t m0 x21 he y164 ffa fs7 fc4 sc0 ls0 ws0">MOV<span class="_ _15"> </span><span class="fca">R3<span class="fc0">,<span class="_ _15"> </span><span class="ff17 fc9">#<span class="_ _15"> </span>10</span></span></span></div><div class="t m0 x21 he y165 ffa fs7 fc4 sc0 ls0 ws0">AND<span class="_ _15"> </span><span class="fca">R2<span class="fc0">,<span class="_ _15"> </span></span>R0<span class="fc0">,<span class="_ _15"> </span><span class="ff17 fc9">#<span class="_ _9"> </span>0xF</span></span></span></div><div class="t m0 x21 he y166 ffa fs7 fc4 sc0 ls0 ws0">CMP<span class="_ _15"> </span><span class="fca">R2<span class="fc0">,<span class="_ _15"> </span></span>R3</span></div><div class="t m0 x21 he y167 ffa fs7 fc4 sc0 ls0 ws0">IT<span class="_ _15"> </span><span class="fca">LT</span></div><div class="t m0 x21 he y168 ffa fs7 fc4 sc0 ls0 ws0">BLT<span class="_ _15"> </span><span class="fca">elsebranch</span></div><div class="t m0 x21 he y169 ffa fs7 fc4 sc0 ls0 ws0">ADD<span class="_ _15"> </span><span class="fca">R2.<span class="_ _15"> </span><span class="ff17 fc9">#<span class="_ _15"> </span>6</span></span></div><div class="t m0 x21 he y16a ffa fs7 fc4 sc0 ls0 ws0">ADD<span class="_ _15"> </span><span class="fca">R1.<span class="_ _15"> </span><span class="fc8">#1</span></span></div><div class="t m0 x21 he y16b ffa fs7 fcb sc0 ls0 ws0">elsebranch:</div><div class="t m0 x21 he y16c ffa fs7 fc4 sc0 ls0 ws0">END</div><div class="t m0 x17 he y16d ffa fs7 fc3 sc0 ls0 ws0">ARM<span class="_ _15"> </span>vs<span class="_ _15"> </span>x86:<span class="_ _25"> </span>What’s<span class="_ _15"> </span>the<span class="_ _15"> </span>difference<span class="_ _15"> </span>between<span class="_ _9"> </span>the<span class="_ _15"> </span>two<span class="_ _15"> </span>processor<span class="_ _15"> </span>architectures?</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">48/65</div><a class="l" href="https://prog.world/arm-vs-x86-whats-the-difference-between-the-two-processor-architectures/"><div class="d m1" style="border-style:none;position:absolute;left:34.722000px;bottom:3.194000px;width:355.043000px;height:13.444000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf35" class="pf w0 h0" data-page-no="35"><div class="pc pc35 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">CISC<span class="_ _9"> </span>vs.<span class="_ _23"> </span>RISC</div><div class="t m0 x17 hb y52 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff1">Ha<span class="_ _3"></span>rdwa<span class="_ _3"></span>re<span class="_ _f"> </span>mark<span class="_ _3"></span>et<span class="ff4">:</span></span></div><div class="t m0 x30 hb y16e ff4 fs6 fc0 sc0 ls0 ws0">-<span class="_"> </span><span class="ff7">RISC<span class="_ _9"> </span></span>(ARM,<span class="_ _f"> </span>IBM):<span class="_ _c"> </span>Qualcomm<span class="_ _c"> </span>Snap<span class="_ _b"></span>dragon,<span class="_ _c"> </span>Amazon<span class="_ _c"> </span>Graviton,<span class="_ _f"> </span>Nvidia<span class="_ _c"> </span>Grace,</div><div class="t m0 x64 hb y16f ff4 fs6 fc0 sc0 ls0 ws0">Nintendo<span class="_ _f"> </span>Switch,<span class="_ _c"> </span>Fujitsu<span class="_ _c"> </span>Fukaku,<span class="_ _c"> </span>Apple<span class="_ _f"> </span>M1,<span class="_ _f"> </span>Apple<span class="_ _c"> </span>Iphone/Ip<span class="_ _b"></span>o<span class="_ _b"></span>d/Mac,<span class="_ _c"> </span>T<span class="_ _1f"></span>esla</div><div class="t m0 x64 hb y170 ff4 fs6 fc0 sc0 ls0 ws0">F<span class="_ _3"></span>ull<span class="_ _f"> </span>Self-Driving<span class="_ _f"> </span>Chip,<span class="_ _c"> </span>Po<span class="_ _3"></span>werPC</div><div class="t m0 x30 hb y171 ff4 fs6 fc0 sc0 ls0 ws0">-<span class="_"> </span><span class="ff7">CISC<span class="_ _15"> </span></span>(Intel,<span class="_ _f"> </span>AMD):<span class="_ _c"> </span>all<span class="_ _f"> </span>x86-64<span class="_ _f"> </span>p<span class="_ _3"></span>ro<span class="_ _b"></span>cesso<span class="_ _3"></span>rs</div><div class="t m0 x17 hb y172 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff1">Soft<span class="_ _3"></span>wa<span class="_ _3"></span>re<span class="_ _f"> </span>mark<span class="_ _3"></span>et<span class="ff4">:</span></span></div><div class="t m0 x30 hb y173 ff4 fs6 fc0 sc0 ls0 ws0">-<span class="_"> </span><span class="ff7">RISC<span class="_ _27"></span></span>:<span class="_ _f"> </span>Android,<span class="_ _c"> </span>Linux,<span class="_ _f"> </span>Apple<span class="_ _f"> </span>OS,<span class="_ _c"> </span>Windows</div><div class="t m0 x30 hb y174 ff4 fs6 fc0 sc0 ls0 ws0">-<span class="_"> </span><span class="ff7">CISC<span class="_ _27"></span></span>:<span class="_ _f"> </span>Windo<span class="_ _3"></span>ws,<span class="_ _f"> </span>Linux</div><div class="t m0 x17 hb y175 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff1">P<span class="_ _3"></span>ow<span class="_ _3"></span>er<span class="_ _f"> </span>consumption<span class="ff4">:</span></span></div><div class="t m0 x30 hb y176 ff4 fs6 fc0 sc0 ls0 ws0">-<span class="_"> </span><span class="ff7">CISC<span class="_ _27"></span></span>:<span class="_ _f"> </span>Intel<span class="_ _c"> </span>i5<span class="_ _f"> </span>10th<span class="_ _f"> </span>Generation:<span class="_ _15"> </span>64W</div><div class="t m0 x30 hb y177 ff4 fs6 fc0 sc0 ls0 ws0">-<span class="_"> </span><span class="ff7">RISC<span class="_ _27"></span></span>:<span class="_ _f"> </span>Arm-based<span class="_ _c"> </span>smartphone<span class="_ _c"> </span><span class="ff1b"><<span class="_ _f"> </span></span>5W</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">49/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf36" class="pf w0 h0" data-page-no="36"><div class="pc pc36 w0 h0"><img class="bi x0 y0 w1 h1" alt="" 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class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">ARM<span class="_ _9"> </span>Quote</div><div class="t m0 x65 h5 y178 ff3 fs3 fc0 sc0 ls0 ws0">“Incidentally<span class="_ _8"></span>,<span class="_ _f"> </span>the<span class="_ _7"> </span>first<span class="_ _f"> </span>ARM1<span class="_ _7"> </span>chips<span class="_ _f"> </span>required<span class="_ _7"> </span>so<span class="_ _f"> </span>little<span class="_ _f"> </span>p<span class="_ _b"></span>ow<span class="_ _3"></span>er,<span class="_ _f"> </span>when<span class="_ _f"> </span>the</div><div class="t m0 x6 h5 y179 ff3 fs3 fc0 sc0 ls0 ws0">first<span class="_ _15"> </span>one<span class="_ _15"> </span>from<span class="_ _15"> </span>the<span class="_ _9"> </span>factory<span class="_ _9"> </span>was<span class="_ _9"> </span>plugged<span class="_ _15"> </span>into<span class="_ _15"> </span>the<span class="_ _15"> </span>development<span class="_ _15"> </span>system<span class="_ _15"> </span>to</div><div class="t m0 x6 h5 y17a ff3 fs3 fc0 sc0 ls0 ws0">test<span class="_ _f"> </span>it,<span class="_ _7"> </span>the<span class="_ _7"> </span>microp<span class="_ _3"></span>ro<span class="_ _b"></span>cesso<span class="_ _3"></span>r<span class="_ _7"> </span>immediately<span class="_ _f"> </span>sprung<span class="_ _f"> </span>to<span class="_ _7"> </span>life<span class="_ _f"> </span>by<span class="_ _f"> </span>dra<span class="_ _3"></span>wing<span class="_ _7"> </span>current</div><div class="t m0 x6 h5 y17b ff3 fs3 fc0 sc0 ls0 ws0">from<span class="_ _15"> </span>the<span class="_ _d"> </span>IO<span class="_ _15"> </span>interface<span class="_ _d"> </span>–<span class="_ _15"> </span>b<span class="_ _b"></span>efore<span class="_ _15"> </span>its<span class="_ _15"> </span>own<span class="_ _15"> </span>p<span class="_ _b"></span>o<span class="_ _3"></span>wer<span class="_ _15"> </span>supply<span class="_ _15"> </span>could<span class="_ _d"> </span>b<span class="_ _b"></span>e<span class="_ _15"> </span>p<span class="_ _3"></span>rop<span class="_ _b"></span>erly</div><div class="t m0 x6 h5 y17c ff3 fs3 fc0 sc0 ls0 ws0">connected.<span class="_ _5"></span>”</div><div class="t m0 x17 he y17d ffa fs7 fc3 sc0 ls0 ws0">Happy<span class="_ _15"> </span>birthday,<span class="_ _15"> </span>ARM1.<span class="_ _25"> </span>It<span class="_ _15"> </span>is<span class="_ _15"> </span>35<span class="_ _15"> </span>years<span class="_ _9"> </span>since<span class="_ _15"> </span>Britain’s<span class="_ _15"> </span>Acorn<span class="_ _15"> </span>RISC<span class="_ _15"> </span>Machine<span class="_ _15"> </span>chip</div><div class="t m0 x1 he y17e ffa fs7 fc3 sc0 ls0 ws0">sipped<span class="_ _15"> </span>power<span class="_ _15"> </span>for<span class="_ _15"> </span>the<span class="_ _9"> </span>first<span class="_ _15"> </span>time</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">50/65</div><a class="l" href="https://www.theregister.com/2020/04/27/arm_35_year_anniversary/"><div class="d m1" style="border-style:none;position:absolute;left:34.722000px;bottom:18.563000px;width:391.471000px;height:11.657000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://www.theregister.com/2020/04/27/arm_35_year_anniversary/"><div class="d m1" style="border-style:none;position:absolute;left:27.350000px;bottom:4.172000px;width:147.920000px;height:11.154000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">The<span class="_ _9"> </span>V<span class="_ _3"></span>on<span class="_ _9"> </span>Neumann<span class="_ _9"> </span>Bottleneck</div><div class="t m0 x66 h8 y17f ff1 fs2 fcc sc0 ls0 ws0">A<span class="_ _3"></span>ccess<span class="_ _d"> </span>to<span class="_ _6"> </span>memo<span class="_ _3"></span>ry<span class="_ _d"> </span>dominates<span class="_ _6"> </span>other<span class="_ _d"> </span>costs<span class="_ _6"> </span>in<span class="_ _d"> </span>a<span class="_ _6"> </span>p<span class="_ _3"></span>ro<span class="_ _b"></span>cesso<span class="_ _3"></span>r</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">51/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf39" class="pf w0 h0" data-page-no="39"><div class="pc pc39 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">The<span class="_ _9"> </span>V<span class="_ _3"></span>on<span class="_ _9"> </span>Neumann<span class="_ _9"> </span>Bottleneck</div><div class="t m0 x1 h7 y180 ff14 fs3 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span>efficiency<span class="_ _7"> </span>of<span class="_ _f"> </span>computer<span class="_ _7"> </span>a<span class="_ _3"></span>rchitectures<span class="_ _7"> </span>is<span class="_ _f"> </span>limited<span class="_ _7"> </span>b<span class="_ _3"></span>y<span class="_ _7"> </span>the<span class="_ _f"> </span><span class="ff1">Memory<span class="_ _7"> </span>Wall</span></div><div class="t m0 x1 h7 y181 ff14 fs3 fc0 sc0 ls0 ws0">p<span class="_ _3"></span>roblem,<span class="_ _7"> </span>namely<span class="_ _f"> </span>the<span class="_ _7"> </span>memo<span class="_ _3"></span>ry<span class="_ _7"> </span>is<span class="_ _f"> </span>the<span class="_ _7"> </span>slo<span class="_ _3"></span>west<span class="_ _f"> </span>pa<span class="_ _3"></span>rt<span class="_ _7"> </span>of<span class="_ _f"> </span>the<span class="_ _7"> </span>system</div><div class="t m0 x1 h7 y182 ff14 fs3 fc0 sc0 ls0 ws0">Moving<span class="_ _f"> </span>data<span class="_ _7"> </span>to<span class="_ _f"> </span>and<span class="_ _7"> </span>from<span class="_ _f"> </span>main<span class="_ _7"> </span>memo<span class="_ _3"></span>ry<span class="_ _7"> </span>consumes<span class="_ _f"> </span>the<span class="_ _7"> </span>vast<span class="_ _f"> </span>majorit<span class="_ _3"></span>y<span class="_ _f"> </span>of<span class="_ _7"> </span><span class="ff3">time<span class="_ _9"> </span></span>and</div><div class="t m0 x1 h7 y183 ff3 fs3 fc0 sc0 ls0 ws0">energy<span class="_ _d"> </span><span class="ff14">of<span class="_ _f"> </span>the<span class="_ _7"> </span>system</span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">52/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf3a" class="pf w0 h0" data-page-no="3a"><div class="pc pc3a w0 h0"><img class="bi x0 y0 w1 h1" alt="" 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"/><div 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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Memo<span class="_ _3"></span>ry<span class="_ _9"> </span>Hiera<span class="_ _3"></span>rchy<span class="_ _4f"> </span>2/5</div><div class="t m0 x1 hb y27 ff4 fs6 fc0 sc0 ls0 ws0">Mo<span class="_ _b"></span>dern<span class="_ _c"> </span>architectures<span class="_ _c"> </span>rely<span class="_ _f"> </span>on<span class="_ _f"> </span>complex<span class="_ _c"> </span>memory<span class="_ _c"> </span>hierarchy<span class="_ _c"> </span>(prima<span class="_ _3"></span>ry<span class="_ _f"> </span>memo<span class="_ _3"></span>ry<span class="_ _1f"></span>,<span class="_ _f"> </span>caches,</div><div class="t m0 x1 hb y28 ff4 fs6 fc0 sc0 ls0 ws0">registers,<span class="_ _f"> </span>scratchpad<span class="_ _c"> </span>memory<span class="_ _8"></span>,<span class="_ _f"> </span>etc.).<span class="_ _15"> </span>Each<span class="_ _f"> </span>level<span class="_ _c"> </span>has<span class="_ _f"> </span>different<span class="_ _f"> </span>cha<span class="_ _3"></span>racteristics<span class="_ _f"> </span>and</div><div class="t m0 x1 hb yd2 ff4 fs6 fc0 sc0 ls0 ws0">constraints<span class="_ _f"> </span>(size,<span class="_ _c"> </span>latency<span class="_ _1f"></span>,<span class="_ _f"> </span>bandwidth,<span class="_ _f"> </span>concurrent<span class="_ _c"> </span>accesses,<span class="_ _f"> </span>etc.)</div><div class="t m0 x67 hd y184 ff10 fs7 fc0 sc0 ls0 ws0">1<span class="_ _13"> </span>byte<span class="_ _13"> </span>of<span class="_ _c"> </span>RAM<span class="_ _13"> </span>(1946)<span class="_ _50"> </span>IBM<span class="_ _13"> </span>5MB<span class="_ _c"> </span>ha<span class="_ _3"></span>rd<span class="_ _c"> </span>drive<span class="_ _13"> </span>(1956)</div><div class="t m0 x17 he y185 ffa fs7 fc3 sc0 ls0 ws0">twitter.com/MIT_CSAIL</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">54/65</div><a class="l" href="https://twitter.com/MIT_CSAIL"><div class="d m1" 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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Memo<span class="_ _3"></span>ry<span class="_ _9"> </span>Hiera<span class="_ _3"></span>rchy<span class="_ _4f"> </span>3/5</div><div class="t m0 x1 h9 y186 ff5 fs5 fc0 sc0 ls0 ws0">Source:</div><div class="t m0 x1 h12 y187 ff16 fs5 fc0 sc0 ls0 ws0">“Accelerating<span class="_ _14"> </span>Linear<span class="_ _13"> </span>Algeb<span class="_ _3"></span>ra<span class="_ _13"> </span>on<span class="_ _13"> </span>Small<span class="_ _13"> </span>Matrices<span class="_ _13"> </span>from<span class="_ _13"> </span>Batched<span class="_ _13"> </span>BLAS<span class="_ _13"> </span>to<span class="_ _13"> </span>La<span class="_ _3"></span>rge<span class="_ _13"> </span>Scale<span class="_ _13"> </span>Solvers",</div><div class="t m0 x1 h12 y188 ff16 fs5 fc0 sc0 ls0 ws0">ICL,<span class="_ _13"> </span>Universit<span class="_ _3"></span>y<span class="_ _13"> </span>of<span class="_ _13"> </span>T<span class="_ _3"></span>ennessee</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">55/65</div><div class="d m1" style="border-style:none;position:absolute;left:27.350000px;bottom:20.090000px;width:398.843000px;height:9.077000px;background-color:rgba(255,255,255,0.000001);"></div><div class="d m1" style="border-style:none;position:absolute;left:27.350000px;bottom:9.206000px;width:102.550000px;height:9.077000px;background-color:rgba(255,255,255,0.000001);"></div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Memo<span class="_ _3"></span>ry<span class="_ _9"> </span>Hiera<span class="_ _3"></span>rchy<span class="_ _4f"> </span>4/5</div><div class="t m0 x1 hb y27 ff6 fs6 fc0 sc0 ls0 ws0">Intel<span class="_ _23"> </span>Alder<span class="_ _23"> </span>Lake<span class="_ _6"> </span>12th-gen<span class="_ _23"> </span>Core-i9-12900k<span class="_ _23"> </span>(Q1’21)<span class="_ _23"> </span>+<span class="_ _23"> </span>DDR4-3733<span class="_ _f"> </span><span class="ff4">example:</span></div><div class="t m0 x6 h6 y189 ff1 fs4 fc0 sc0 ls0 ws0">Hiera<span class="_ _3"></span>rchy<span class="_ _f"> </span>level<span class="_ _51"> </span>Size<span class="_ _17"> </span>Latency</div><div class="t m0 x37 h6 y18a ff1 fs4 fc0 sc0 ls0 ws0">Latency</div><div class="t m0 x68 h6 y18b ff1 fs4 fc0 sc0 ls0 ws0">Ratio</div><div class="t m0 x69 h6 y189 ff1 fs4 fc0 sc0 ls0 ws0">Bandwidth</div><div class="t m0 x6a h6 y18a ff1 fs4 fc0 sc0 ls0 ws0">Bandwidth</div><div class="t m0 x6b h6 y18b ff1 fs4 fc0 sc0 ls0 ws0">Ratio</div><div class="t m0 x6c h6 y18c ff6 fs4 fc0 sc0 ls0 ws0">L1<span class="_ _d"> </span>cache<span class="_ _52"> </span><span class="ff4">192<span class="_ _c"> </span>KB<span class="_ _53"> </span>1<span class="_ _c"> </span>ns<span class="_ _19"> </span>1.0x<span class="_ _2b"> </span>1,600<span class="_ _c"> </span>GB/s<span class="_ _19"> </span>1.0x</span></div><div class="t m0 x6c h6 y18d ff6 fs4 fc0 sc0 ls0 ws0">L2<span class="_ _d"> </span>cache<span class="_ _54"> </span><span class="ff4">1.5<span class="_ _c"> </span>MB<span class="_ _53"> </span>3<span class="_ _c"> </span>ns<span class="_ _55"> </span>3x<span class="_ _2b"> </span>1,200<span class="_ _c"> </span>GB/s<span class="_ _19"> </span>1.3x</span></div><div class="t m0 x6c h6 y18e ff6 fs4 fc0 sc0 ls0 ws0">L3<span class="_ _d"> </span>cache<span class="_ _56"> </span><span class="ff4">12<span class="_ _c"> </span>MB<span class="_ _57"> </span>6<span class="_ _c"> </span>-<span class="_ _c"> </span>20<span class="_ _c"> </span>ns<span class="_ _3e"> </span>6-20x<span class="_ _58"> </span>900<span class="_ _c"> </span>GB/s<span class="_ _19"> </span>1.7x</span></div><div class="t m0 x6c h6 y18f ff6 fs4 fc0 sc0 ls0 ws0">DRAM<span class="_ _59"> </span><span class="ff4">/<span class="_ _32"> </span>50<span class="_ _c"> </span>-<span class="_ _c"> </span>90<span class="_ _c"> </span>ns<span class="_ _40"> </span>50-90x<span class="_ _5a"> </span>80<span class="_ _c"> </span>GB/s<span class="_ _5b"> </span>20x</span></div><div class="t m0 x6c h6 y190 ff6 fs4 fc0 sc0 ls0 ws0">SDD<span class="_ _d"> </span>Disk<span class="_ _6"> </span>(swap)<span class="_ _5c"> </span><span class="ff4">/<span class="_ _5d"> </span>70<span class="ff1b">µ</span>s<span class="_ _5e"> </span>10</span></div><div class="t m0 x6d hf y191 ff5 fs8 fc0 sc0 ls0 ws0">5</div><div class="t m0 x1c h6 y190 ff4 fs4 fc0 sc0 ls0 ws0">x<span class="_ _3f"> </span>2<span class="_ _c"> </span>GB/s<span class="_ _5f"> </span>800x</div><div class="t m0 x6c h6 y192 ff6 fs4 fc0 sc0 ls0 ws0">HDD<span class="_ _d"> </span>Disk<span class="_ _6"> </span>(swap)<span class="_ _5c"> </span><span class="ff4">/<span class="_ _60"> </span>10<span class="_ _c"> </span>ms<span class="_ _5e"> </span>10</span></div><div class="t m0 x6d hf y193 ff5 fs8 fc0 sc0 ls0 ws0">7</div><div class="t m0 x1c h6 y192 ff4 fs4 fc0 sc0 ls0 ws0">x<span class="_ _3f"> </span>2<span class="_ _c"> </span>GB/s<span class="_ _5f"> </span>800x</div><div class="t m0 xc hd y194 ff9 fs7 fc3 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ffa">en.wikichip.org/wiki/WikiChip</span></div><div class="t m0 xc hd y195 ff9 fs7 fc3 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ffa">Memory<span class="_ _15"> </span>Bandwidth<span class="_ _15"> </span>Napkin<span class="_ _15"> </span>Math</span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">56/65</div><a class="l" href="https://en.wikichip.org/wiki/WikiChip"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:16.564000px;width:138.506000px;height:10.212000px;background-color:rgba(255,255,255,0.000001);"></div></a><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:1.969000px;width:133.798000px;height:9.366000px;background-color:rgba(255,255,255,0.000001);"></div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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fT09Gp/RvXzBgYGjb33WrTIysrS5K3etWtX3759bW1tJdq14uJiBwcHDS9y45KTk1NTU/v37y/dLlRUVNjY2DRdF3Jzc+Pi4jp16vTUU0813Sbcu3fP1NT0rw/d+u23q99+a7NgQWnr1qVNv6cVFBTY2dnxgQxCKoD/0dPTq3s8w83NLScnR3U7MzOzW7duQog2bdrUHmvJy8tr3br10KFDG3lNfX19f39/Td7qgQMH+vj4aPhKNiIuLk7zi9y4I0eOfP31176+vtLdipiYmCbtwqFDh1atWhUcHNx0vyImJqaysrLe1/9140Y9ITo9+2zvZmnQyZMnGTgFncI5qcBDc3Z2Pnz4cEJCghBCoVC4uLgIIeRyeXl5+c6dO5OTk2NjY/v06UOhAC2WrFCk7dtn7+/fu29fqgE0BY6kAn+jb9++d+/eFUJ07969V69emzdvnjBhwuXLl2fPnm1mZubi4jJ16lQhhLe39+zZs9evX19ZWdmtW7cJEyZQOkCLXU1IqCwq0uvXj1IAhFRAPY4fP/7XhYsWLRo5cmRWVtbzzz9fu3D8+PH29vaFhYWNf9EPQAuYnj4thLD09aUUACEV0Cze3t7ef5kTUdJnQGofLs9DF5rIqdjYK3v2uI4e/dyIERQTIKQCaFZpaWmOjo6S3gSpjzLp06fP+fPnPTw86EJDBg0aVFFR0fwb9UdERFV5eXWdL1LYpYEnjoFTAAA8nKqYmJZt2jh6eVEKgJAKoLmFh4erZjCAuuTk5Ozbt48uNEKpVIaGhp46dao5f+mp2Njc5GTXMWPkhFSAkAqg+c2bNy81NZU6qDeBBQcH04VGZGRkzJ07Nzo6ujl/6Z+XLgkhiv38qD9ASAWAR8EoE7rQFApOn7Z2d++qjulR2aVBSAUAbcAoE7rQFKpOnjQdO1Z1FQ+KCRBSAQBQv6i9e/MzM5keFSCkAgCgQW4fO9bG3b2Zp0cFdBPzpAKoX1hYmLOzM3VQI09Pz02bNnXt2pVSNMTJyWnjxo3u7u7N9hsro6L0e/Sg8gAhFYDa+Pn5SX0yf6mPMrG0tHR3d+/SpQtdaIhMJpPJZE/2NffNn39XqZTNnOk/cOB9Dx3YsuVuerrjW2+xSwPNgK/7AdRvzZo18fHxkt4EqY8yuXbt2vr16+lCI65cuRISEnLs2LEn9YKKs2cz16zJP3BAOWOG4i8z1OpHROgbGDw1dCi7NEBIBaDOkHr58mXqoN6Qum7dOrrQiMzMzJCQkNjY2Cf1guknTtTcu9furbeqysrOBQRE7txZ+1BSYuLVqKiOAwa4PuljtwAIqQAANMYgKsrA2Ljr5MkdPv64orDw6ltvdcjOVj30+6lTVWVlVUOGUCWAkAoAQPNRnD37R2xs56FDvXr0eD4wsPO6dYZmZr9OmZJ//rwQwjg2Vs/AwKVPHwoFNA8GTgHQWowyoQsP5WpYWPW9e9X/nV5q2Esvpfn4nF258vby5Xtu3Lj5889Wo0Z59+xJMQFCKgA8FkaZ0IUHl56efmvnzvZy+cgpU2oXuspkf7z0UruOHS8sXSqEaDNyJMUECKkA1Ozo0aMtW7akDmrUs2fPyMhIa2trStGQzp0779mzx97e/vFf6kZ6eunt25aTJv31ofIePTotXtzy0qUhr7xCzQFCKgA1c3BwkPo8qVJnYmJia2vr4eFBKRri6urq6ur6RF4q+8wZIUTr3r3rfXTMBx9QbaCZMXAKQP3i4+PPnTtHHdQoPz8/ISGBLjRCqVRu27btzJkzj/9SpcnJNj4+g8eMoaoAIRWARgsMDLx48aKkN0Hqo0xSUlKCgoLoQiMyMjKCgoKioqIe83XS09LKT50yfvFFdmmAkAoATY5RJnThQf8/cOTIvbIy52eeoZgAIRUAAE1hHBNj6+sr9/KiFAAhFQAAjZCUmJgeEVH01FOUAiCkAgCgKVTXO3Xo25dSABqFKagA1C80NPTpp5+W9CZIfZSJh4fHf/7zH7rQiG7duu3YsaNLly6P8yJVe/aYWFt7+PiwSwOEVAASMGzYMKnPkyr1USZt27b19PR0c3OjCw2xs7MLCAh4nFf4+fvvs06dsp42zdbOjl0a0Ch83Q+gfuHh4QkJCdRBjXJycvbt20cXGqFUKkNDQ0+dOvXIr3A7NlYI0XbgQIoJEFIBSMO8efNSU1Opg3oTWHBwMF1oREZGxty5c6Ojox/5FSp+/dXKxWXYSy9RTICQCgCARojYvr3oxg3DIUMoBUBIBYDmwygTutA4vYMH9Q0NHUeNopgAIRUAmjGCMMqELjTs1PHjyr173caO7aPxF5pilwYhFQAAXZEbESGEKGfIFKCpmIIKQP3CwsKcnZ2pgxp5enpu2rSpa9eulKIhTk5OGzdudHd3f9gnJp45c3PTplYvvTTq1VcpI0BIBSAlfn5+Up8nVeon8FlaWrq7uz/mTPXa3QWZTCaTyR72WSeio9NnzzaWy/stWkQxAY3F1/3AQ0tOTl6wYEHfvn27d+8+Z86c5ORk1fL4+Pjnn3++V69e8+fPr10oXWvWrImPj5f0Jkj9BL5r166tX7+eLjTiypUrISEhx44de/CnKBISLr/2WnFWltsHH7i4ulJMgJAKaI+TJ0+eOnXqvffeu3DhQkVFxc8//yyESEpK+vDDD8eNG7d+/fqrV6/u27dPC0Lq5cuXabd6Q+q6devoQiMyMzNDQkJiY2Mf9H+YSUlXFywounHDMTjYn7NRAUIqoGVycnJ8fHxGjhwphHB2dr53754Q4sKFCwUFBf369evRo8fQoUMf/K8mgGZzft26P2JjrV97bcScOVQD0HCckwo8NLlc/uWXX37//fetWrVKSkp6/vnnhRC5ublubm4uLi5CiPbt2+fk5CQmJvbo0aOhF6mpqYmJidHwLa2urtb8lWyIoaGhJIrciDt37ki9C2ZmZk3ahby8PFWhHuRXlGRk3Pn2W7s+fZxfffXBV8nMzMzIyEjSOxJASAV0RevWrb29vY8ePWphYdGqVav27dsLIaqqqlq0aFEbQGtqarKyshoJqZWVlUVFRRq+pSUlJZq/kg0xMTG5d++edNdfVX+pd8HAwKBly5ZNt/7FxcUPWKKWenpZn35q1KeP0YwZWTdvPtQm6OnpaUILjIyMGDgFQiqAxhw8eNDQ0HDDhg1CiE2bNv3www8DBw40NjZW/b1UBVY9PT0HB4fG/96oThjQZObm5pq/kg2Ji4szNDSU7voLIZKSkqTehZiYmCbtwqFDh4QQDg4Ojf+KZIUi9a23jFq06LVqldzL62E3obS0VBNacPLkSQZOgZAKoDEFBQV2dnaq2wYGBoWFhUIIGxsbpVKZlpbm6uqakZHh4eHh9ZB/CzXN0aNHW7ZsSbvVqGfPnpGRkdbW1pSiIZ07d96zZ4+9vX3jP3bxu+9yz51zXLNGLvF3JUBIBdCYLl267N69287OzsLC4pdffvH29hZCjB8//tChQ1u3bnVxcfnxxx8DAwOlvpkODg5SnydV6kxMTGxtbT08PChFQ1xdXV3/bhqpX3/66c7mze3k8qcGDaJiACEV0GZz5swxMzP77bffCgsLfX19586dq1o+Y8aMsLCwhISEwMDA119/XeqbGR8fn5ub6+PjQ8fVJT8///r168XFxXShIUqlMi4uzt3dvVevXg39TNUPP1SVlVnMmqUa1wiAkAposzfeeOOvC3v06NHISCnJCQwM3Lhxo6TjkdRHmaSkpISEhNCFRmRkZAQFBQUHBzcUUnd/8smN8PCOb789YvJkLXhXMnAKOoV5UgFoLUaZ6HgXTsXG3vzoow4+PgGff04xAUIqIBm//vprREQEdQC01dVffqm5d89i1ixKAUgRX/dD50RERBw9evTEiROqUfnz5s17+umn+/XrJ5fL5XI59QG0xr39+7sEBg5++WVKARBSAY2WmJgYFhZ2/PjxAQMGzJgxw9zc3NDQsKio6Pfff9+5c+ePP/740ksvTZgwgUIBWuDgqlWF1655fvstpQAIqYCmy8/P79at24wZM+qds+bw4cM3H+Y6NFovLCxM6lO9Sn2Uiaen56ZNm55++mm60JBu3brt3bv3r+/o44cP31ixovXLL/doeNQ/xQQIqYCmGDhw4MCBAxt69LnnnqNEdfn5+Ul9nlSpjzKxtLT08PCQyWR0oSF2dna1V9ao60ZwcGVxcWet+6KfgVPQKQycgi76+eef4+PjhRAKheJf//rX2LFjT58+TVnuEx4enpCQQB3UKCcnZ9++fXShEUqlMjQ09NSpU3UX7l+2LOfcudZTp/bu358SAYRUQEqioqJatGihSqtXrlzx8vJavXo1ZbnPvHnzUlNTqYN6E1hwcDBdaERGRsbcuXOjo6NrlySdO5fz5ZemNjbdpk6lPgAhFZCY0tJS1ezov/3225gxYwIDA1NTUxUKBZUBpC5l06aSnByb2bO9uEwXIHGckwpdZGpqumfPnqqqqsuXL7/55pumpqYGBgatWrWiMlqGUSa604X09PTfTpy4u2tXXnR02wkTRv373xQTIKQC0uPn5/fJJ59UVVW9+uqrffv2jYqKcnZ2rnfIPySNUSY60oXfT58+sWNHXlpah5493bZvHzpuHMUECKmAJE2cOLFLly5CCNUUS+bm5tOnT6csgOTcunFDCPHn4cOllpY2s2b1nDHDhf9tAoRUQNLqzgDq7+9PQf4qLCzM2dmZOqiRap7Url27Uop6/bh0afaqVTMMDNwmT/Z77TVvX19qAhBSAWmLiYnZsmVLUlJSVVWVEKKmpsbBwSEqKorK1KUF86RKnWqeVA8PD0rxV7/s2nXto48c+/fv9vbbg8eMoSAAIRXQBvv27evateukSZNqT/DS12emi/tt3769d+/eAwYMkO4mSH2Uyc2bN2NjYwcMGEAX/io/OrpGCMPXXz9z4UKVsfGwYcN04V3JwCkQUgEtV1paOnToULlcTikasWTJko0bN0p6E6Q+yiQ9Pf2TTz6R+kkXTdGFZIXi9u7dDv7+LVu3Xrp0aXBwsI6EVAZOQadw9Ai6yM3N7eTJk9QBkKhMhaKyqKj66acpBaDFOJIKXWRsbPz111+npKS0bdtWtaR169Zz5syhMoAkmCckCCGs/PwoBaDFOJIKXaSnpzdq1KjahMppXoC0pB882KZbN8ZLAdqNI6nQRW+//TZF0AX890Mru/DThg3FOTkWQUEUEyCkAlriwIEDRUVFEydOrPfRxMTEixcvTpo0iUKpHD16tGXLlpLeBKmPMunZs2dkZKS1tTVdqMsgMlLfwMB95EghROfOnffs2WNvb68j70oGToGQCminDh06fPLJJwcPHuzXr1+vXr28vb1Vy3/44YfU1NTo6OgJEyZQpVoODg7Mk6peJiYmtra2zJNaV3paWmZ0dMcBA7x8fIQQrq6uXNAYIKQCkufr67tkyZIzZ87s378/NDTU1NTU1NT01q1bZmZmzz777Oeff96zZ0+qVCs+Pj43N9fHx4dSqEt+fv7169eLi4vpQq3rSmVVWdm9QYNUd5VKZVxcnLu7e69evSgOQEgFJEwul8vl8tdff33v3r0FBQUVFRWWlpY+Pj4cjPmrwMDAjRs3Eo/UKCUlJSQkhC7UlZ2QIIRo7eamupuRkREUFBQcHExIBQipgJYYO3YsRdB6jDLRvi5UJCR0Hj78uREjKCag9ZiCCoDWYpSJlnUhOSmp8NSp6uHDKSZASAUAQFNcv3Chqqyss68vpQAIqQAAaIo7x4+3l8vl/52XAwAhFdA2x44dowh/a/ny5V26dKEOaiSTyZYuXUoXat07cqTI07PuEicnp5UrVz7zzDMUB9A+DJyCLkpMTFyzZo2zs3PXrl39/f1lMhk1+auAgACpz5Mq9VEmNjY2crlc6iH1SXXhwJYt+ZmZzn5+9+V4nXr/MnAKOoUjqdBF//rXvxYuXOji4nLo0KFx48a9//77Z8+epSz3CQ8PT0hIkPQmSH2USU5Ozv79++mCinFsrJ4Q7f47+ZSKUqkMDQ09deqUjrwrGTgFQiqg/by8vPHv+WAAACAASURBVN54442wsLAlS5Zcvnw5KCho7ty5e/bsoTK15s2bl5qaSh3USKlUBgcH0wUhRLJCkbZvn72//z/69Km7PCMjY+7cudHR0ZQI0D583Q/dlZSUdObMmdjY2IKCgpdffrmioiIkJOTu3buvv/46xQE0SqZCUVlUVP3005QCIKQC2uyHH36IiIgoKytzcXEZPHjwoEGD7OzshBBmZmaZmZnUR2twAp/WdMEgMtLA2Nhh6FCKyR4FQiqgzUpKSl544YUXXnjhvuUDBw7Mzc19wBf5+eefb968aWxs7OnpKZfLa+NvSUmJXC7v0aMHdVY7TuDTji4ozp5Nj4iQjR7du39/iskeBUIqoM2mTZtW73LvB55/ce3atWFhYb179y4sLFSlUiHEypUrT5061bFjx++++27FihVcTBx4ItJPnKi5d6/E359SADqFgVPQRQsXLgwLC6u9e/jw4XHjxj340/ft27d169Z58+Z99tlnGzZs8PPzE0L8/PPP27ZtmzVr1urVq319fXfu3Cn1KoWFhXXr1o29RY08PT03bdqk4104uH37nRUr9AwMXP7xj78+6uTktHHjxsGDB7O3AIRUQBv8+eef3bt3r7373HPPKZVKhULxgE8/e/Zs3759nZyc9u/fn5aWpjqMeuPGDWdn54EDBwohfH19jx49KvUq+fn5+fj4sLeokaWlpa+vr852ITkpaff772fMmCFqapw//tirvjrIZLLJkyf7/f+TpwLQDnzdD11kYGCQn59fe/f8+fMGBgatWrV6wKfn5OTcuXPnq6++6tChQ3h4+NChQydOnJifn9+uXTvVD5iampaXl//888/Dhw9v6EUqKioOHDigyVVSKBQuLi4WFhYS7bKJiYmZmZmGF7lxubm5R48edXNzk24XLC0tKysrH7YL9/Lz75w5I/bvL83Lc5w6tdXIkUXl5fW+SGlp6fnz5+3t7R0cHJpuE1q1aqUJO5KRkZG5uTkf4CCkAtrMzc3tq6++ysnJcXNzy8nJOXDgwPPPP+/q6vqAT1cNsN2wYYMQYsuWLeHh4RMnThRC3Lt3T/UDenp6fzu+wdDQUMP/3nz00UcbNmyQ7h/FFi1atGjRQtJ/1I8cOfLll19KugsmJiYP2wWr3347/u67QohWL73kMX68gYmJEMLc0LDeHy4tLV2xYsXbb7/t4eHRdJtQUVGhIS1g4BQIqYCWGzly5M2bNz/88EPVXW9v71dfffXBn+7s7Hzjxg3VbRsbm8LCQiGEpaXl3bt3VQuLi4uNjIwaOYyq+mOjOjdAk+nr62v+SjYkLi5OEkVuxIkTJ6TehZiYGAsLiwdf/5Pvvx/72WcO/v5mb7wx7KWX/vbnDx06JISwtrZuuhLFxMSUlpY2/nZuHidPnuTTG4RUQMu5urquWLHipZdeunz5srGx8dixYx/q6fb29lFRUQqFwtvb+9KlS6pLh9vb22dmZsbExAwcODAhIWHAgAHUGXgoyUlJyV9/3ebFF8fVGdcIgJAK6JwePXo82mymkydPTk1N/eCDD3x8fE6fPv3xxx8LIYYPH37p0qXQ0NB9+/alpKR8+umnVBh4KFmXLlUWFZn37UspABBSoaOioqK2b99eXFxsZWWlWtK2bdsVK1Y8+Ct8+umnMTExZWVl48aNq53Jf86cOV5eXpWVlTNnznzwM1zRdLg8j7S6cCsxsUaIdjIZRWOXBgip0FEHDx4cPHjwpEmTHudF6j0H7plnntGaKh09erRly5aS3gSpjzLp2bNnZGSktbW1jnTBICbGzMamz7PPPviLd+7cec+ePfb29jry2cXAKRBSAS1XWlr6mAlVFzg4ODg6OlIHNTIxMbG1tW26cesaJencudzkZI8JEx7qWa6urnxrAWgrJvOHLnJ2dt6yZQt1aFx8fPy5c+eogxrl5+cnJCToSBcyzp0TQhQ88KWJVZRK5bZt286cOcPeAmgfjqRCF9na2n711Vfp6emWlpaqJcbGxrNmzaIydQUGBm7cuJGLTqlRSkpKSEiIjnSh8Nw5IYSFk9PDRduMjKCgoODg4F69erHDAIRUQPKMjY1HjBghhCgpKVEtYTiCVqKtEupC9fHjls7OQx5yPjiKCRBSAa3y8ssvUwRdwCgTqXQhau/evLQ062nTKBe7NFCLc1Kho1atWhUYGDhkyBAhRHh4+Nq1a6kJoC4FGRlCiFacWwKAkAodt3nz5qioKG9v7+LiYiFEu3btDhw4QFkAdbFQKIQQToRUAIRU6Ljk5OS33nrr3XffNTMzE0L069cvOzs7KSmJytS1fPnyLl26UAc1kslkS5cu1YUuXDt6tJ1c7vXwIdXJyWnlypXaND8xgFqckwpdVFZW1q1bN/HfUQhZWVkGBgbm5uZUpq6AgACpz5Mq9VEmNjY2crlc6iH1b7twIjq6OCfHZOLER8vxMl26QhUDp6BTOJIKXdS5c+fPPvssMTFRNQph8+bNAwYMYErw+4SHhyckJEh6E6Q+yiQnJ2f//v1a34VcpVJPiDZeXo/w4kqlMjQ09NSpUzryrmTgFAipgJYLCAgoKCiYPHlydnZ23759T58+zXj/v5o3b15qaip1UCOlUhkcHKz1XSj6/XdDMzP7rl0f4bkZGRlz586Njo5mbwG0D1/3QxfJZLKwsLBdu3bl5eUZGBj069dPp74xBDRKVXq6fZ8+8kc6kgpAi3EkFbro4MGDQojx48dPnz49KChIT08vNDSUsgBq0SI9vbx7d+oAgJAKiGPHjtW9e/PmTaag0kqMMtH8Lpw6duzO5cuWvr4Uil0auP9/sJQAOmXLli3p6empqanBwcF1QypzLWklRplofhdunj9vamPD1VDZpQFCKlAPOzu7UaNGUYf7hIWFOTs7Uwc18vT03LRpU9dHGlEkFW0uX9Z7jDPCnZycNm7c6O7uzt4CEFIBaZs6daoQ4uDBgyNGjKAajfPz85P6PKlSZ2lp6eHh4eHhocXb+MfRoxW9ez/y03VtnlRAp3BOKnQRCfVB3LhxQ6FQUAc1Ki8vz8rK0uIuRP/8853Ll1t17PjIr5CWlnbgwIHExET2FoCQCmiDI0eOTJ8+fdy4cUOGDBk/fvzAgQPfe+89ynKf/v37p6SkSHoTpD7KJCEhYejQoVrchTtJSTVC2Dz81VBrXb16NSAgICIiQkfelQycAiEV0HKRkZG+vr4BAQH29va7du0KCAho0YJTX7QQo0w0vAtGp0+3MDZ24Pt6dmmAkAqo3L179/XXXzcwMFDdHTZsWExMDGUBmtnNuLgOPXu6cEViAIRUQMXExCQ5OdnCwuL3338XQtTU1JSUlPz6669UBmg2kbt2lefnM40/gIbwFSd0UZs2bS5dujRhwoQtW7b885//LC0t7dKly+DBg6kM0GwKMjKEEK28vSkFAEIq8H/GjRvXsmVLIURISMgvv/xSVlY2ZswYynKfJUuWSH0KKqmPMnFxcVmwYIG2dqHFoUPGlpbd+vV7nBdv3779okWLfB5j6BW7NEBIBTSIp6en6oZqksWYmJiQkJCtW7dSmbpeeeUVqccjqY8ysbW17dGjh9TnSa23C2lK5fXYWI8JEx7zhFS5XC6Xy3XnXcnAKRBSAd1SXV2dk5NDHe4THx+fm5urO8eoNFB+fv7169eLi4u1pgtJiYlZly8XZ2eXxsUJIQoe+7t+pVIZFxfn7u7eq1cvdhhAyzBwCkD9AgMDL168SB3UKCUlJSgoSOpdKM/N3fHppxEvvrjR0TH26aeVU6ZkzZt358cf23Tr5tKnz2O+eEZGRlBQUFRUFHsLoH04kgoAaEIXli69FRt729i4bffuTkOG3HJxadm2bTs3t96PdzYqAEIqoFW+/PLL8vLy+xYWFBQwHEEr0Va1K7hwITc2tsO0af0XL7a1s6Mg7NIAIRWoX3l5+d27d2tqauqOP6ipqRk6dCjF0T6MMlGvZIXizxUrTNq27fLmmyRUdmmAkAo0Zs6cORQBaB5pP/1UkpPTdf58OZOhAiCkAnhSli9f3qVLF+qgRjKZbOnSpRLtQnpa2p3Nm1u2b28fENB0v8XJyWnlypXMQQEQUgHokICAACbzVy8bGxu5XC7RkJq4f39xTs7wnTurjIyaNMfLZDLdeVdyTip0ClNQAahfeHh4QkKCpDdB6ifw5eTk7N+/X6JdqN6zRzZ69I3WrZu0C0qlMjQ09NSpUzryruScVBBSATyQLVu2hIaG1t5NTEx85513ZsyY8c0332jB1s2bNy81NZUuq5FSqQwODpZiFyJ37bp59qz+iy829S/KyMiYO3dudHQ0ewtASAXwf86ePbt3797Dhw/XLlm3bp2FhYWfn19YWJh25FTg0VTv3m3bs+ew8eMpBQBCKtDctm3bNnr06Nq7u3btSk5OnjRp0tSpU1944QUugQOdFblrV9q+fdXPPEMpADwOBk4Bj+Ljjz+2tLQMCgrav3+/aklWVpa7u7urq6sQonPnzhs2bDh58qS/v39Dr1BdXX3y5EkN38zS0lLNX8mGFBcXW1hYSHf9hRB3796VXBdqqqsLvviiRatWVj17qla7SXf13NxcVaGatERGRkaa0IKCggJzc3M+fkFIBdCgzZs3Z2Rk3PeF/r1798zMzFS3DQwM9PT08vLyGnmRyspKW1tbDd9SS0tLzV/JBtNSTU1JSYl011+iXUjfsiX77FnPDz5weuqpZuhCcXGx6kbT/YqampqKigpjY2O117Z9+/alpaV8AoOQCqBB33777csvv7xjxw4hRFlZ2Y4dOyZOnGhoaFhRUaH6gerq6r/9q2lsbOzs7KzJmxkWFubs7KzhK9mIuLg4Kysr6a6/EKJfv37e3t4ymUwqW5GsUGR8+62pjU2bUaNU6xwTE2Nra9t0619VVbVx40Z3d/em+xUxMTGlpaXDhw9Xe3lPnjzZqlUrPoFBSAXQIJlMVjsr0O3btw8dOjRx4sS2bdumpqamp6e7uLjcunXL3t6+R48ekt5MPz8/qc+TKnWWlpYeHh4eHh5SWWHVJaYc3n+/2S4xpWvzpAKEVACN2bx5c+3t0aNHq+527969devWx44dy8vLi4qKauRsVKm4cePG7du3vbmgpfqUl5dnZWWVlpZKoguqS0yZ2ti4jhnTfLE4LS01NVUL/k8I4K8Y3Q88lv79+6tuyOXyzz//XKlUbtu2beDAgYGBgVqwaSkpKZLeBKlfnichIWHo0KFS6cK5H38szc21XbjwvsOoTdqFq1evBgQERERE6MgHDlecgk7hSCrwWObMmVN7293d/ZNPPqEmmoPL8zSnirCwrpMmPffGG3SBXRp4IjiSCgB4XAe3br1z6VL1889TCgCEVACApqjYts2+b9/BzXg2KgBCKgAAjdm/efMfsbEcRgXwZHFOKoD6LVmyROpTUEl9lImLi8uCBQs0vAtpSuXtTz+16NSpz/jxzd+F9u3bL1q0yMfHR0felQycAiEVAMQrr7wi9ZAq9VEmtra2PXr00PB5Uk+vXFmQmdlp7VpbO7vm74JcLpfL5brzrmTgFHQKX/cDqF98fPy5c+eogxrl5+cnJCRochcSz5zJ37GjnVw+Zvp0tayAatK3M2fOsLcAhFQAuiIwMPDixYvUQY1SUlKCgoI0uQt3vvmmqqzMYtYsda1ARkZGUFBQVFQUewtASAUAQAghTsXG/hYW1rF//xGTJ1MNAIRUAHhQjDJpUtcPHDAwMmr33nt0gV0aIKQCwENglEnTSVYo8nbsaDt9et9Bg+gCuzRASAUAaIS0n36qrqjwmDiRUgBoIkxBBaB+y5cv79KlC3VQI5lMtnTpUg3sguLs2TubN5sNHiz39lbvmjg5Oa1cuVJ35kkFCKkAIAICAqQ+T6rU2djYeHl5ado8qb/s2nVz4cKSnBybZ5/VhBwvk8nYVQCtxNf9AOoXHx+vVColvQlSH2WimidVc7qQlZW1680304KCTKytnb/5ZtSrr6q9C1lZWQcPHrx06ZKOvCsZOAVCKgCIwMDA06dPS3oTpD7KRDVPqoZ0IVmhiJsy5ebmzW2nT58YFzdyyhRN6MLFixfHjh27e/duHXlXMnAKOoWv+wEAfyMxIeHK7Nm3LlzosnbtYDVdXAoAIRUAgP85sm3b7x98UJyd7bhmDQkVACEVAKB+P3388bWPP25hbMwxVACEVAB4Mhhl8ph2LFyYs2KFdUDAP5Yskbm70wV2aYCQCkD9wsLCnJ2dJb0JUh9l4unpuWnTpq5du6rlt4cvXpyzYkXH998P+PBDje2Ck5PTxo0b3R81QLNLA4RUANLj5+fHPKnqZWlp6eHhoZZ5UsMXL77+6adtX3zxMRNqU2OeVECLMQUVgPrduHFDoVBQBzUqLy/Pyspq/i6oEqq1u/vTS5ZoeInS0tIOHDiQmJjI3gIQUgHoiv79+6ekpFAHNUpISBg6dGgzd6E2oXbfvNlV4w9SXr16NSAgICIigr0FIKQCgGQwyuRh7Vi48I9PP23z4ov/2LvX29eXLrBLA2rEOakAtBajTB7Kj0uXPpGRUnSBXRp4IjiSCgAQkTt3/rFsmeaPlAJASAUA6IqkxMQ/P/xQ38Cg82uvUQ0AhFQAGm3s2LHm5ubUQY3at28/atSoZujCnW++yUtPt50zx3/gQGmVyNDQcMqUKTY2NuwtgPbhnFQA9VuxYoXU50mV+igTNze3fv36denSpUl/y775869u2uQwfXoTfdHfpF0YMGDAgAEDdOddycAp6BSOpAKoX3x8/Llz5yS9CVIfZZKfn3/27Nkm7cKB777LWLXKPSBg3Nq1UuyCUqnctm3bmTNndORdycApEFIBQAQGBl68eJE6qFFKSkpQUFCTdiF7xw5ze3vbd9+VaIkyMjKCgoKioqLYWwDtw9f9AKCjft2wofToUecNG7x8fKgGAEIqADQTTuBrxMHt2/94/33ryZNHTJ5MF9ilAQ3E1/0AtBYn8DUkMT7+2uzZRhYWT//733SBXRogpAJaJSIi4pdffrlv4cmTJ/+6ENAoyUlJv8+fX1lU1GnxYleZjIIA0Ex83Q88tB9++OGLL74wNjYuKSmJiIgIDQ1VLd+5c+f69euFEOHh4W+99Za3t7ekN3P58uVNPfkRGieTyZYuXfrEu5C6bVvOyZPWr7323NSpUi+Rk5PTypUrfTinFtBGHEkFHlpFRcWCBQuOHj26YcOGnJycXbt2CSEUCsXq1atnzJixevVqVZCV+mYGBAT4+vrSbjWysbEZM2bMk+3C8cOH/1y3rp1c/tTrr2tHjp89e7a/vz97C6B9OJIKPLRJkyapbnh5ednZ2RUVFQkhzpw507Zt2wkTJgghnnvuuVWrVqWlpbm6ukp3M+Pj48vLy2VS/jpY6qNM8vPzr1+/bmBg8KS6kJ6efuXjj9t4eHT6z3/kzXWkv0m7kJWVlZiY6Orq6uHhoQsfPgycAiEVwAM5e/bs9evXp02bJoQoLCzs0KGDarm5uXlxcfHly5cbCakVFRVXr16t+7en7pAItdy976HAwMCtW7e2aNFCY9ew8bvt2rUrKSmpLbImrNLD3j127NjatWtVXXgia3j5s89KFYqnIyJM7exUlWnqxjk6Oqq60EQ1VCqVY8eOnTlz5qxZs5pocxwdHTXk3dq+ffvS0lI+eEFIBfA3FArFypUrBw0aJJfLH+HpBgYGV65c0eSQKoTIy8urXUnJhVR9fX07O7umXv8m3fDKysraLjz+GtoVFCg3bmwfFHS9qEg0V1tNTEzatm3b+Po/zm/5888/hRCVlZWqRjfF5piYmNTU1JSXl2vCu9XOzo7PXhBSAfxNQv3iiy+cnJzeeOMN1RJTU9OCggLV7fLycgMDAwcHh8ZD6pAhQzR8M01NTTV/JRsSFxcniSI3IiEh4Ul1QZGQEP/668aWlr7vvOPq5tZsmxATE9OkXTh06JAQon379k33K2JiYkpLS4cPH672/eHkyZN89kKnMHAKeMSE2rp162XLltUu7Nix46VLl5RKpRBCqVTK5fJHO8IKNIVrS5cWZ2d3Wry4ORMqADwOjqQCD23v3r2ZmZlt2rR59913hRBdu3Z99dVXR44cmZGR8cknn5iZmRUWFk5u4qv44EEwykQIcfPmzcPvvnv30KEOCxcOmzmTLrBLA4RUQGuFhITUu3zWrFlpaWmFhYVSnyFVJSwszNnZWdKbIPXL83h6em7atKlr166P8yKnwsPv7N7d7q23JixapH1dcHJy2rhxo7u7u458+HDFKRBSATwiSc85dR8/Pz9HR0d6qkaWlpYeHh6PM7lSclJSyddf2/v7y6Q/b3+9ZDKZjItmAVqKc1IB1O/GjRsKhYI6qFF5eXlWVtYjdyEpMfHc558X/PGH87Jlci8vrSxRWlragQMHEhMT2VsAQioAXdG/f/+UlBTqoEYJCQlDhw59tC78/P33ipdeKtyxw+HNN3v4+Wlria5evRoQEBAREcHeAhBSAUAydHOUSZpSGfbGG2mvvmrRqVPn9etH15mDgi6wSwMSwjmpALSWDo4yObxlS+bSpeX5+bKVK9Uylp8uUEyAkAoA+J9khSLpq6/yvvvO2NLScfXqYa+8Qk0AEFIBAOp07NdfM999N+/SpY79+zt99JEWn4QKgJAKQNeNHTvW3NycOqhR+/btR40a1XgXkpOSft+/P2vVqpqqKvv33nMZN05bB/LXy9DQcMqUKTY2NuwtACEVgK5YsWKF1OdJlfooEzc3t379+nXp0qXeR48fOvT7gQMVP/5YWVLSdto0nxkzNPOSp03ahQEDBgwYMEB33pUMnAIhFQBEfHx8bm6uj4+PdDdB6qNM8vPzr1+/XlJScl8XkpOSlJs23fj6awNj49ZTp3abOtVLg9vUpF1QKpVxcXHu7u69evXShXclA6egU5iCCkD9AgMDL168SB3UKCUlJSgoqG4XkhWK/cuWXXj11etff+0+YYLbtm2BoaFeUv6PxGPKyMgICgqKiopibwG0D0dSAUACTh0/fnXXruLw8NJbtwzNzBw/+WTou+9SFgCEVAC4n0KhyMrKMjQ0HDx4cN3lSUlJWVlZw4cPp0RPRGVBwe7337+7dWtpbq61u3ub1193GTXqkY+eRkZGdujQwdvbm8ICIKQC0EIrVqz47bffTE1NCwsLQ0NDZ86cOWTIkOjo6K+//trCwkIIsXr16n/84x+TJk1ycXHZt2/fl19++euvvwoh0tLSPvvsM1NT0zfffFMmkzXpSkp0lEl6evrNa9fuZmSkHzsmhDj/7rueHTqYv/CCx8iR/YYMqfuT06ZNu3XrVtu2bYUQ7dq1W7FihWr5O++8k52dnZqaOmPGjDfeeEO1cMGCBZmZmS1btiwqKjIwMAgICBg7dqwQolu3brNnz1b9WGho6OHDhwMCAiZPnqxNXUhLS/voo4+uXbt25MgR1ZKFCxdGRkZ+/vnn/fr1Uy2ZMWPGsWPHFi5cOHHiRI3dNxg4BUIqAPyN9957r/b2xx9/HBUVNWTIECsrq/nz5/fo0UMI8eOPPwYHB8tkMhcXF/HfAR9nz54NDQ3t1KnT0qVLm2ElJTTKJFmhyFQo8s+caXnlSvbZs1VlZTVC5AohhJAtWPDaokUNbeDIkSOnT59+3/Jx48b5+/sPGTKkbgX69es3dOhQ1e1//vOfkZGRqpCqp6en+rHVq1cfOXJkyZIlT/Y4qyZ04euvv7azs7t7927dterUqVN0dLQqpCYlJeXm5mr+DsPAKRBSAUAsX768ocmP/srU1FQIUXcQeufOnYUQlZWVtUvOnj374YcfdurU6QkepdMO+5cty16zpuTWLT0hjC0tO/bvX+ziYtGzp72hYd+rV/2efbaR55aWlkZERFhZWfn7+9curHu7Vm1CFUK0atUqOzu77qMrV67ctWvX/PnzpXUmgJOT08qVKxufg2L37t3nz59fvnz54sWL6y7v1avXoUOHVLcTEhLkcvmlS5fYGwFCKgBNFxAQ0Pg8qSdOnIiLiysqKjp37txrr71236NHjhxp1arVU089pbpbUlLy4YcfymSyKVOmuLq6Ul6VyJ07C7/88mZ8vLm9vd2iRZZduw4ZO7b20ZiYGE+53MPDo5FX+OabbwwMDExMTCZNmjRz5swH+aUKheLEiRODBg2q26zff/993rx5Y+v8dkmQyWSNnzSSlJS0bdu2qVOnev3lGgdGRkbGxsZhYWGBgYGnT5/WkUmsAEIqAO2XlpaWn5+fnZ1dUVFx7969ug/t27dv+/bt77zzjuqrfyFEeXl5Tk5Ot27d5HI5pVP5YcmSnBUrRE1N2zfe6DZtmtd/a/XgRowYMXv2bC8vr3Xr1n355ZcdOnQYN25c409JT0/fsGGDo6PjiBEjahdmZ2ebmpo6ODhoX5F37doll8sbOs20d+/eFy5ciIiIuHDhwt+WDkAzY55UAPXr1atXWFhYIz8wderUkJCQb775ZuzYsZGRkXUT6g8//DB37txJkybVLrSysvrggw/++OOPqVOn3rhxo3k2QTNHmaQplbu/+OIHf/+8r79uM2uWT2RkYGhovQk1Pj6+f//+jXRh7NixqgOEM2bM6Nq1a2Ji4n2bf18F0tPTv/rqKxMTk0WLFtX+b6GmpiYgIGDkyJHz5s2r20dJdOHw4cP29vbLli2r99Ho6OhDhw5ZWVmtWrVq1apVBQUFq1atOnbsWO1aDRgw4MSJE+Hh4cOGDWvVqpXmD0ti4BR0CkdSAdTvzp07VVVVD/KTrVu31tf/v//xhoeHL1++fObMmYGBgXV/Rk9Pb/To0U5OTt99990HH3ywZcuWZtgETRtlciIm5tq+fUW7dpXeumXv7999xw7/Ri/pWVlZeffu3QfpQnp6+u3bt//xj3/ct/l1K5CcnLx169Z79+6tXr36vh8zNjaeNWuWk5PT8uXLra2t/fz8pNKFmpqa3Nzcuqc+1+XgoJ590AAAFB9JREFU4DBhwoTasH7v3r3q6uqWLVvWrlWfPn2GDBly/Pjxt99+u6SkhIFTACEVgOStWrWqQ4cOpqamd+/e3bt3ryrWHDhwQDXcqqysbMOGDUIILy+vuqf6yeXyKVOmrFixYv78+Q0d/dI+yQrF1bNnjY8cSdu/v7qy0tTGxmXZshFz5jzmy+7du/fChQuurq6mpqZnzpwpLCzs06eP6qHt27eXlJSUlJT89ttvGzZsUA3/P3DgwOHDhydNmqRqjaGh4bRp0+q+YEBAQEZGxrx585YvX/5kc6q6uLu7u7u71949fvz4u3+5AsLChQtrH+V9DRBSAUheUVHR9u3bq6qqTE1NPT09X3rpJSFEZWVl9+7dhRCnT59WHfIxNTXt1auXkZFR7ZfLcrl8/Pjx+/bt27x586uvvqrdVYoICzM6fFi5b19lUZEQwnX06Ornn3f08pL/ZRDPI+jYseORI0dOnjwphOjUqdP8+fN9fX1VD2VlZV26dEkmkxUUFJw+fVoVUo2MjHx8fC5evKhqjWp2VSFEr169VJMzCCHGjBlTUlISHh5uZGSkfRP+e3p61t7u3LnzfV+d6+vr9+rVy9jYmHc3QEgFIGGL6pu5c+zYsfUODx82bNiwYcNq744ePXr06NHaV5Mjv/xSnJ1dnJPTPiPjzuXLdy5dUs0qZe/vr9evn6Wv73N1xio9Pl9f39pUep+6s9g2vlAIsXnz5trbLi4uwcHB2rrTfvTRR7W3//ofJH9//3qn7gJASAWgWWbPni314d6NjDK5efPmVaWy7k9WV1QIIWqqq6sqK4UQ1RUVtU+/k5qqulFdUVFZVlZdUXGvrKyisFDU1Njk5pbl5VWWlBTduFFZUmLcqpWls3Nhhw53nZxMvLzaOjt3kMt79+37aOvv6Oj45ptvanEXHl+7du3+9a9/6c5VXhk4BUIqAIjZs2c3Pk+q5khOSvrzjz9Kc3PL8/MrMzNtSkryMzKK//yzJC8vzshI9TOF167VVFf/74+9EHVHoDz4XQNjY7MOHVo7ORmYmJh16HC3dWtha2tuYWFtYWHavv2zw4c/we1ydHT08/NrfJ5UzdekY328vLy8nsS5ExQTIKQCkIwbN27cvn1bvceokhWKrCtXirOzK65ebXPnTtHNm3p6emV5eeV5eUIIUVMj9PSqysqKs7PrRslcIYwtLY0sLVuYmlra26teyqJTJ/MOHQxMTO77FTf19fUdHIQQ+gYGRubmQgi9Fi1UNwzNzfVbtBBC6OnrP9lv6h9QeXl5VlZWaWmp7hwpfFhpaWmpqan29vY9Hn6WWQCEVACS1L9//40bNzZDPDp98mThrVsVBQWVJSVVZWUlmZn2RUV309LyMzKKrl+vGz1bOTjoGRjUPtHc3t7A0FAI0bF//9xWrYxcXFq2aWNkYWHj5OTVo0dcXJyVlZWkD0MmJCSEhIQ0Txck6urVqwEBAcHBwYRUgJAKAA8tTalMP3++oqiooqCgoqhIPyPDorCw9Nat/IyM8ry8sry8+75bvyuEsaWllaurg7//bUdHs86dja2sbF1c5GQ1ACCkAsCDS0lOvpudfa+s7G5mZnlOTtnduyIry6q4uCQ3V/VPCGHatq2RhYVRq1ZGbdtmtG5t6ORk4OZmZmpqbWFh3aWLvoGBvqGhgZGRvqFhBwcHF1fXx18rRploArpAMQFCKoDmExUenvf7722uXLlz+XJeWppqriUVA2Njaw+P1q6ut+3sjIYMaWVlZdK69ZCAgOZfSUaZaAK6QDEBQiqAJpSelpZ6+nRRVlarc+duxsUVZWfrCZEthKmNjbW7u+XIkfru7ibW1i3btlXLGCMAACEVwJORlJh4U6ksy8sru3OnbVra7dTU0lu3hBCWTk5mNja3rKwMHBwMTU2NraxETY2BsXGL/14WSDWq/X8v9Je7FYWF/5tuqabmXnm5fosWqoHqhmZm+oaGQoj2HTvKvbxOHT9enJdXWVRUfe9eRWFhTVVVeUFBTXV1zc2bPkIUbdmyd/t2IURxdnbBtWv3SkqEEH8aGLTt3t3qhReMvb07enp6+fjQyibSvn37UaNGmZubU4qGGBoaTpkyxcbGhlIAhFQAT8atixfPTJigr69v2qGDabt2N21sKrp3N7ayqi4ru1NWduvPP9tkZ5edPFlaWFhRWFh6584j/IqW1tZ6+vp1l1QUFt4rL1fdvihETJ2HTNu21W/RwsTaWk9f36RNGyHEv5555o619S0jIwNjY9G5c+sRI2x8fY1atbJzcnoiJ4w2A6mfwOfm5tavX78uXbpIeiuatAsDBgwYMGCA7nxucE4qCKkAmpylk1P3vXvV9c34of37VTcamQF09+7dvZydfaR8oFTqJ/Dl5+dfv369pKSELjREqVTGxcW5u7v36tVLFz43OCcVOkWfEgBqYWhmpsZzNweNGqX618g6BAYGXrx4kU6pUUpKSlBQEF1oREZGRlBQUFRUFKUAtA9HUoEnad26/9fe3QdFVS9+HP/CuhAoWIMDhMxSwpIIyaPGZaKyQUAmUhgdbehHqUNMMzbTVMzgkDjDH12mB5IKi1HAgpEdCnATFJly+GVIDAvrAmMorKmxjnSlBXkIFnDvH+fenR0T782bcjbfr7/2nD1wzuf7XZbPnLMPn/7222+BgYEbN25kNAAAoKQCC+/NN980m82+vr5ffvnlzMzM5s2bGRMAACipwEKqqak5ffp0bW2tn59fUVGRRqOhpC443mXCLDCYACUVuN+ZTKaQkBA/Pz8hxGOPPVZeXt7c3JyYmDjff5q5ubnm5mY5J4qKinJ2dpb5Qd6GQqHw9PR03OMXQty4cSM6OtqhZ8Hd3d1qtd694x8dHY2Ojr5x48bd24W7u7tMpsBqtXp4ePBkC0oqgD9mbm7OxcXFfs3MzMxtyofFYvH19bX/92P/vt0FWbzprtLS0gU/pNsf4X9cnJ2dtQ2yTA7pDy2mpaWlpaXJ+Qj/m0VpFu7SEfr4+JSWlsrtgXf3FnmmBSUVwB/m7OxssVjs1ygUivk29vX1vXbtmrMzH68B4L9ltVrpqaCkAvjDHnroIZPJJN0eGRnx8PBITk6eb+Pw8HBGDACA2+BEDvDniI+P9/Dw2Ldv34kTJ44dO8a7pgAA+F843XSBEsAd0+v1tbW1FoslLCwsMzOTAQEA4M4olUpKKgAAAGRXUrncDwAAANmhpAIAAEB2eHc/gFsrKSkZHh7Oz8+XFt95553Z2Vl/f/8dO3Y4xPGbTCaNRjMxMSFF6OzsbGxsFEK4ubnl5OQ4RIRz5841NDTYIpSVldk+QeL555+PiIhwiAharXZqakqKcP78+bq6urm5uSeeeCIhIcEhZkGj0QwMDLi4uGzatCk4OPjHH3/UarUxMTGOcvyA4+JMKoBbU6lUra2ttsWtW7fm5+e3tbXV1dU5xPFPTk6GhITYIgwODqrV6vz8fEdpqEKIsbEx+wg7d+7Mz8/fuHGjXq9fsmSJo0QICwuzRSgpKVmxYkVeXl57e7ujzMLixYvffvttf3//iooKIcT4+Lirq+uFCxd4igDuNs6kAvc7nU7X0NDQ1dU1NzcXExOTnp4ufYxramrqJ598YtvMZDK1tbXNzc09+uij8ozQ0dGhUCgiIyOlCGq1Wq1WFxcX2zZrbW29ePGiWq2W4QeE6XQ6jUbT09Pj6upqixATEyOEsI8ghOjp6YmKigoKCpJbBI1G09zcbDKZpAiZmZmBgYE3RTCZTGq1Wghx9epVGf4tlJaWtre3SxE2bNjw6quvSn8I0r3u7u5CiDVr1ly5cmVoaIinDoCSCuDuunjxotVqffnll61W6/79+8U83zUwNTXV19cnz68OlyJkZWVNTEyUl5ffMkJISMiiRYump6crKysfeeQRqTzJKoKvr++6detGRkbmiyDp6uqKi4uT4SyMjo7Gx8d7e3uPj4+Xl5erVKrAwMCbtomNjT148GBoaOi5c+dkGGFmZsY+wtq1a6Ojo4UQ/f39dXV1ubm5PF0AlFQA987mzZttZxYvXbrU29t7y80SExMTExP37t3b1dUVGRkp2whDQ0O3jBAcHBwcHCyEOHv2bH9/v9xKqv3J3fkiCCE6OzsvX75cVFQkwwdSdna27bbJZLK9fNbeW2+9VVdXNz4+/swzz8gwwq5du2y3T506df78eamkVlRU5OTkyO0xA1BSAdwvrly5YjAYVq1aJS0WFRVdv369oKAgLi5OoVB0dHTMzs5OT0/L8EKzzcDAgC2CwWDQarW2CMPDwz///PPk5OT4+Lic24YUYeXKlUKIlpaW7777ToqQmpoaGRmp1WrXr18v8weSFOGpp56yj1BYWJibm3v8+PELFy6MjY15eXnJPILZbPb39xdC7N27d3Bw8MSJEx0dHbt27frmm2+OHTs2NzdnsVjsSy2APx0f5g/gX/Lz86empt599935/m1PTEzMdw1aDoxGY0FBgY+Pz3wRmpubfXx85BzBYDAUFRXdJoL86fX6ffv23SZCV1eXQqGQ8yycOXPmww8/DAsLc6D32AF/PUqlkjOpAIQQora29tKlS2+88cZ8G8j5BKrkyJEjXl5eGRkZ822QmJgo5+M3Go1ffPHF7SPInMFgqKqqun2EqKgomUeorKz08vJKT0/naQFYWHwEFQBRW1v78ccf297X76ARent7X3rpJceNcOTIEavV6rgRpJLt0BEMBoMtwu/f9QXgHuNyP3C/q6urKywsTElJ8fPzE0Iolcrt27c7YoTExESVSuW4Ed57772MjAwXFxcHjfDBBx/U19dv27ZNihAQEJCUlORYEXbv3n3q1ClbhIiIiLVr1/IUASwILvcDEA8++OC2bduEEOPj40IIV1dXIixIhC1btlgsFunEgSNGUKlU6enptgjXr193uAj+/v72EaSHE4CFwplUAAAAyItSqeQ1qQAAAJAdSioAAAAoqQAAAAAlFQAAAJRUAMA9otVqtVot4wCAkgoAuFlBQUFSUlJNTc2937VOp9PpdEwBgL8kPicVAO6c0Wg8efKkQqE4e/bsvd97TEwMUwCAkgoAuEVJnZ2dzcrKKi4u3rRpU0REhBCira1Np9PFxsYePXo0NDRUpVL19PRERkbW19eHh4cHBwd3dHQMDw+bzebY2FjpO+Krq6uXLl2akpIi/dr29vZffvklNTXVfl/V1dUGg0GpVCqVyvj4+HXr1pnNZukurVbb399v2zI0NHTDhg3Sj+j1+iVLlqSkpNBoATgWLvcDwJ1rbW1NTk7OyMhYsWLF8ePHpZXd3d2ff/65RqMJDAz09vbu7u4+fPhwVVXVypUrvb29zWbz6Ojo6tWrQ0NDy8rKSkpKhBB+fn6VlZW2X1tWVjY4OGi/o6ampqqqquDg4Li4OD8/P6meDgwMDAwMCCEefvhhtVqtVqvd3Nxqa2svX75sNBqzs7MbGxtXr17t5eW1Z8+e6upq5guAA+FMKgDcuZ6enj179ggh1q9fX1FRsWXLlqCgICcnJ6VSmZmZGR4eLoTo7++fnZ3dsWOHtCiE8PLyMhqNLi4ujz/+eGdnpxDi6aefrqioqK+vT0tLq6mp0el0OTk59juamZlxc3Pz9fWVTpFKnJycpBvSV8zr9fqDBw8++eST2dnZVVVVer3+wIED0k5HRkZaW1tfeOEFpgwAJRUA/uKOHj06MzPT19fX19fn5uY2NjZmNBqDgoKEEJ6enrZKKoQICAiwLX711Veffvqpp6enSqUym81DQ0PS+tDQ0NOnT6elpfX09CQkJKjVavt9hYSELF++fPfu3Z999tmqVat27tx50wYGg2H//v0BAQEvvviiEMJsNk9OTmZkZFitVqnLSkUWACipAPAX197e/uuvvx46dEha9PDw6OrqSkpK+v2Wrq6uttstLS1r1qwpLCwUQpSUlHz99dfS+ujo6Ly8vKampsbGxptOowohgoKCiouLu7q6DAZDU1NTdXV1fn6+/QYVFRVmszkvL09qww888ICPj8+3337LNAFwULwmFQDuhMFgaGtry87OPvFvr7322k8//fQff/Dq1avLli0TQhiNxvb2dtv6Z5991tfXt7Kycvny5b+/Lv/DDz8IIaKiorZv356cnDw6Omp/76FDh86cOZObmxsZGSmt8fPzu3bt2uHDh+0PmFkD4EA4kwoAd6K9vd3FxSUhIcG2ZuvWrQ0NDd9//71CoVi6dKltvUKh8PDwsC0+99xz9fX1fX19SqVy2bJlU1NTtruSk5M/+uij119//fe76+3traysnJmZEUJMT09LLXbx4sXSvd3d3QEBARqNRqPRCCGCg4NfeeUVs9nc0tJy8uRJZ2dnV1fX8PBw+1cgAIDMOVksFkYBAOTg/fffb21tra+vZygA3OeUSiWX+wFAFg4cOKDVapOTkxkKABBc7gcAmRgeHs7MzMzKymIoAEBwuR8AAAByw+V+AAAAyBElFQAAAJRUAAAAgJIKAAAASioAAABASQUAAAAlFQAAAKCkAgAAgJIKAAAAUFIBAAAASioAAAAoqQAAAAAlFQAAAI5ukaMc6G9TU8kv/B8TBjiW/6//kkEAANwBJ4vFwigAAABAPpRKJZf7AQAAIDuUVAAAAFBSAQAAAEoqAAAAKKkAAAAAJRUAAACUVAAAAICSCgAAAEoqAAAAQEkFAAAAKKkAAACgpAIAAACUVAAAAFBSAQAAAEoqAAAAKKkAAAAAJRUAAACUVAAAAICSCgAAAFBSAQAAQEkFAAAAKKkAAACgpAIAAACUVAAAAFBSAQAAAEoqAAAAQEkFAAAAJRUAAACgpAIAAICSCgAAAPypFo3+/VFGAQAA4H/xj/UHGYQ/Ucjfkp2clrpaR6eFsFqtDAgAAABk4Z9XDE7K1UkRjgAAAABJRU5ErkJggg=="/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Memo<span class="_ _3"></span>ry<span class="_ _9"> </span>Hiera<span class="_ _3"></span>rchy<span class="_ _4f"> </span>5/5</div><div class="t m0 x6e hb y196 ff7 fs6 fc0 sc0 ls0 ws0">“Thinking<span class="_ _9"> </span>differently<span class="_ _9"> </span>ab<span class="_ _b"></span>out<span class="_ _9"> </span>memo<span class="_ _3"></span>ry<span class="_ _9"> </span>accesses,<span class="_ _15"> </span>a<span class="_ _9"> </span>go<span class="_ _b"></span>o<span class="_ _b"></span>d<span class="_ _7"> </span>start<span class="_ _9"> </span>is<span class="_ _9"> </span>to<span class="_ _9"> </span>get<span class="_ _9"> </span>rid<span class="_ _9"> </span>of<span class="_ _9"> </span>the</div><div class="t m0 x2b hb y197 ff7 fs6 fc0 sc0 ls0 ws0">idea<span class="_ _f"> </span>of<span class="_ _c"> </span><span class="ffc">O<span class="_ _b"></span><span class="ffb">(<span class="ff4">1</span>)<span class="_ _f"> </span></span></span>memo<span class="_ _3"></span>ry<span class="_ _f"> </span>access<span class="_ _c"> </span>and<span class="_ _f"> </span>replace<span class="_ _f"> </span>it<span class="_ _f"> </span>with<span class="_ _c"> </span><span class="ffc">O</span></div><div class="t m0 x39 h14 y198 ffc fs6 fc0 sc0 ls0 ws0">√</div><div class="t m0 x51 hb y197 ff7 fs6 fc0 sc0 ls0 ws0">N<span class="_ _0"></span>”<span class="_ _f"> </span>-<span class="_ _f"> </span><span class="ff17">The<span class="_ _6"> </span>Myth<span class="_ _23"> </span>of<span class="_ _23"> </span>RAM</span></div><div class="t m0 x17 he y199 ffa fs7 fc3 sc0 ls0 ws0">Algorithmica:<span class="_ _25"> </span>Memory<span class="_ _15"> </span>Latency</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">57/65</div><a class="l" href="https://www.ilikebigbits.com/2014_04_21_myth_of_ram_1.html"><div class="d m1" style="border-style:none;position:absolute;left:295.868000px;bottom:187.904000px;width:87.902000px;height:14.866000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://en.algorithmica.org/hpc/cpu-cache/latency/"><div class="d m1" style="border-style:none;position:absolute;left:34.722000px;bottom:1.145000px;width:138.506000px;height:13.444000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf3f" class="pf w0 h0" data-page-no="3f"><div class="pc pc3f w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Memo<span class="_ _3"></span>ry<span class="_ _9"> </span>Hiera<span class="_ _3"></span>rchy<span class="_ _9"> </span>Concepts<span class="_ _61"> </span>1/4</div><div class="t m0 x1 hb y27 ff4 fs6 fc0 sc0 ls0 ws0">A<span class="_ _f"> </span><span class="ff1">cache<span class="_ _c"> </span></span>is<span class="_ _f"> </span>a<span class="_ _f"> </span>small<span class="_ _c"> </span>and<span class="_ _f"> </span>fast<span class="_ _f"> </span>memo<span class="_ _3"></span>ry<span class="_ _f"> </span>lo<span class="_ _b"></span>cated<span class="_ _c"> </span>close<span class="_ _f"> </span>to<span class="_ _f"> </span>the<span class="_ _c"> </span>processor<span class="_ _c"> </span>that<span class="_ _f"> </span>stores</div><div class="t m0 x1 hb y28 ff4 fs6 fc0 sc0 ls0 ws0">frequently<span class="_ _f"> </span>used<span class="_ _c"> </span>instructions<span class="_ _f"> </span>and<span class="_ _f"> </span>data.<span class="_ _15"> </span>It<span class="_ _f"> </span>is<span class="_ _c"> </span>part<span class="_ _c"> </span>of<span class="_ _f"> </span>the<span class="_ _f"> </span>p<span class="_ _3"></span>ro<span class="_ _b"></span>cesso<span class="_ _3"></span>r<span class="_ _f"> </span>package<span class="_ _f"> </span>and<span class="_ _c"> </span>takes<span class="_ _c"> </span>40</div><div class="t m0 x1 hb yd2 ff4 fs6 fc0 sc0 ls0 ws0">to<span class="_ _f"> </span>60<span class="_ _c"> </span>p<span class="_ _b"></span>ercent<span class="_ _f"> </span>of<span class="_ _c"> </span>the<span class="_ _f"> </span>chip<span class="_ _f"> </span>a<span class="_ _3"></span>rea</div><div class="t m0 x1 hb y140 ff7 fs6 fc0 sc0 ls0 ws0">Cha<span class="_ _3"></span>racteristics<span class="_ _f"> </span>and<span class="_ _f"> </span>content<span class="_ _0"></span><span class="ff4">:</span></div><div class="t m0 x6f hb y19a ff1 fs6 fc0 sc0 ls0 ws0">Registers<span class="_ _6"> </span><span class="ff4">Program<span class="_ _f"> </span>counter<span class="_ _c"> </span>(PC),<span class="_ _f"> </span>General<span class="_ _f"> </span>purp<span class="_ _b"></span>ose<span class="_ _c"> </span>registers,<span class="_ _f"> </span>Instruction<span class="_ _f"> </span>Register</span></div><div class="t m0 x56 hb y19b ff4 fs6 fc0 sc0 ls0 ws0">(IR),<span class="_ _f"> </span>etc.</div><div class="t m0 x6c hb y19c ff1 fs6 fc0 sc0 ls0 ws0">L1<span class="_ _f"> </span>Cache<span class="_ _23"> </span><span class="ff4">Instruction<span class="_ _c"> </span>cache<span class="_ _f"> </span>and<span class="_ _f"> </span>data<span class="_ _f"> </span>cache,<span class="_ _c"> </span>private/exclusive<span class="_ _c"> </span>p<span class="_ _b"></span>er<span class="_ _f"> </span>CPU<span class="_ _c"> </span>core,</span></div><div class="t m0 x56 hb y19d ff4 fs6 fc0 sc0 ls0 ws0">lo<span class="_ _b"></span>cated<span class="_ _c"> </span>on-chip</div><div class="t m0 x6c hb y19e ff1 fs6 fc0 sc0 ls0 ws0">L2<span class="_ _f"> </span>Cache<span class="_ _23"> </span><span class="ff4">Private/exclusive<span class="_ _c"> </span>p<span class="_ _b"></span>er<span class="_ _f"> </span>single<span class="_ _c"> </span>CPU<span class="_ _f"> </span>core<span class="_ _c"> </span>or<span class="_ _c"> </span>a<span class="_ _f"> </span>cluster<span class="_ _f"> </span>of<span class="_ _c"> </span>cores,<span class="_ _c"> </span>lo<span class="_ _b"></span>cated</span></div><div class="t m0 x56 hb y19f ff4 fs6 fc0 sc0 ls0 ws0">off-chip</div><div class="t m0 x6c hb y1a0 ff1 fs6 fc0 sc0 ls0 ws0">L3<span class="_ _f"> </span>Cache<span class="_ _23"> </span><span class="ff4">Sha<span class="_ _3"></span>red<span class="_ _c"> </span>b<span class="_ _b"></span>etw<span class="_ _3"></span>een<span class="_ _c"> </span>all<span class="_ _c"> </span>cores<span class="_ _c"> </span>and<span class="_ _c"> </span>lo<span class="_ _b"></span>cated<span class="_ _c"> </span>off-chip<span class="_ _c"> </span>(e.g.<span class="_ _d"> </span>motherboard),<span class="_ _c"> </span>up<span class="_ _c"> </span>to</span></div><div class="t m0 x56 hb y1a1 ff4 fs6 fc0 sc0 ls0 ws0">128/256MB</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">58/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Memo<span class="_ _3"></span>ry<span class="_ _9"> </span>Hiera<span class="_ _3"></span>rchy<span class="_ _9"> </span>Concepts<span class="_ _61"> </span>2/4</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">59/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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||
<div id="pf41" class="pf w0 h0" data-page-no="41"><div class="pc pc41 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Memo<span class="_ _3"></span>ry<span class="_ _9"> </span>Hiera<span class="_ _3"></span>rchy<span class="_ _9"> </span>Concepts<span class="_ _61"> </span>3/4</div><div class="t m0 x1 hb y1a2 ff4 fs6 fc0 sc0 ls0 ws0">A<span class="_ _f"> </span><span class="ff1">cache<span class="_ _f"> </span>line<span class="_ _f"> </span></span>o<span class="_ _3"></span>r<span class="_ _f"> </span><span class="ff1">cache<span class="_ _7"> </span>blo<span class="_ _b"></span>ck<span class="_ _f"> </span></span>is<span class="_ _c"> </span>the<span class="_ _f"> </span>unit<span class="_ _f"> </span>of<span class="_ _c"> </span>data<span class="_ _f"> </span>transfer<span class="_ _f"> </span>b<span class="_ _b"></span>et<span class="_ _3"></span>w<span class="_ _3"></span>een<span class="_ _f"> </span>the<span class="_ _f"> </span>cache<span class="_ _f"> </span>and<span class="_ _c"> </span>main</div><div class="t m0 x1 hb y1a3 ff4 fs6 fc0 sc0 ls0 ws0">memo<span class="_ _3"></span>ry<span class="_ _1f"></span>,<span class="_ _f"> </span>namely<span class="_ _f"> </span>the<span class="_ _c"> </span>memory<span class="_ _c"> </span>is<span class="_ _f"> </span>loaded<span class="_ _f"> </span>at<span class="_ _c"> </span>the<span class="_ _f"> </span><span class="ff7">granula<span class="_ _3"></span>rity<span class="_ _15"> </span><span class="ff4">of<span class="_ _f"> </span>a<span class="_ _c"> </span>cache<span class="_ _f"> </span>line.<span class="_ _15"> </span>A<span class="_ _f"> </span>cache<span class="_ _f"> </span>line</span></span></div><div class="t m0 x1 hb y1a4 ff4 fs6 fc0 sc0 ls0 ws0">can<span class="_ _f"> </span>be<span class="_ _f"> </span>further<span class="_ _f"> </span>o<span class="_ _3"></span>rganized<span class="_ _f"> </span>in<span class="_ _f"> </span>banks<span class="_ _c"> </span>or<span class="_ _c"> </span>sectors</div><div class="t m0 x1 hb y1a5 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span>t<span class="_ _3"></span>ypical<span class="_ _f"> </span>size<span class="_ _c"> </span>of<span class="_ _f"> </span>the<span class="_ _f"> </span>cache<span class="_ _f"> </span>line<span class="_ _c"> </span>is<span class="_ _f"> </span>64<span class="_ _f"> </span>b<span class="_ _3"></span>ytes<span class="_ _f"> </span>on<span class="_ _c"> </span>x86-64<span class="_ _f"> </span>architectures<span class="_ _c"> </span>(Intel,<span class="_ _f"> </span>AMD),</div><div class="t m0 x1 hb y1a6 ff4 fs6 fc0 sc0 ls0 ws0">while<span class="_ _f"> </span>it<span class="_ _c"> </span>is<span class="_ _f"> </span>128<span class="_ _f"> </span>b<span class="_ _3"></span>ytes<span class="_ _f"> </span>on<span class="_ _f"> </span>Arm64</div><div class="t m0 x1 hb y1a7 ff7 fs6 fc0 sc0 ls0 ws0">Cache<span class="_ _f"> </span>access<span class="_ _c"> </span>type<span class="_ _0"></span><span class="ff4">:</span></div><div class="t m0 x70 h6 y1a8 ff1 fs4 fc0 sc0 ls0 ws0">Hot<span class="_"> </span><span class="ff4">Closest-p<span class="_ _3"></span>ro<span class="_ _b"></span>cesso<span class="_ _3"></span>r<span class="_ _c"> </span>cached,<span class="_ _c"> </span>L1</span></div><div class="t m0 x71 h6 y1a9 ff1 fs4 fc0 sc0 ls0 ws0">W<span class="_ _3"></span>arm<span class="_"> </span><span class="ff4">L2<span class="_ _c"> </span>o<span class="_ _3"></span>r<span class="_ _c"> </span>L3<span class="_ _c"> </span>caches</span></div><div class="t m0 x64 h6 y1aa ff1 fs4 fc0 sc0 ls0 ws0">Cold<span class="_"> </span><span class="ff4">First<span class="_ _c"> </span>load,<span class="_ _c"> </span>cache<span class="_ _c"> </span>empt<span class="_ _3"></span>y</span></div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">60/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf42" class="pf w0 h0" data-page-no="42"><div class="pc pc42 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Memo<span class="_ _3"></span>ry<span class="_ _9"> </span>Hiera<span class="_ _3"></span>rchy<span class="_ _9"> </span>Concepts<span class="_ _61"> </span>4/4</div><div class="t m0 x17 hb y52 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">A<span class="_ _f"> </span><span class="ff1">cache<span class="_ _f"> </span>hit<span class="_ _f"> </span></span>o<span class="_ _b"></span>ccurs<span class="_ _c"> </span>when<span class="_ _f"> </span>a<span class="_ _f"> </span>requested<span class="_ _c"> </span>data<span class="_ _f"> </span>is<span class="_ _f"> </span><span class="ff7">successfully<span class="_ _f"> </span>found<span class="_ _9"> </span></span>in<span class="_ _f"> </span>the<span class="_ _f"> </span>cache</span></div><div class="t m0 x6 hb y16e ff4 fs6 fc0 sc0 ls0 ws0">memo<span class="_ _3"></span>ry</div><div class="t m0 x17 hb y1ab ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">The<span class="_ _c"> </span><span class="ff1">cache<span class="_ _7"> </span>hit<span class="_ _f"> </span>rate<span class="_ _f"> </span></span>is<span class="_ _c"> </span>the<span class="_ _f"> </span>number<span class="_ _f"> </span>of<span class="_ _c"> </span><span class="ff7">cache<span class="_ _f"> </span>hits<span class="_ _c"> </span>divided<span class="_ _c"> </span>by<span class="_ _c"> </span>the<span class="_ _f"> </span>number<span class="_ _f"> </span>of<span class="_ _c"> </span>memory</span></span></div><div class="t m0 x6 hb y1ac ff7 fs6 fc0 sc0 ls0 ws0">requests</div><div class="t m0 x17 hb y1ad ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">A<span class="_ _f"> </span><span class="ff1">cache<span class="_ _f"> </span>miss<span class="_ _f"> </span></span>o<span class="_ _b"></span>ccurs<span class="_ _c"> </span>when<span class="_ _f"> </span>a<span class="_ _f"> </span>requested<span class="_ _c"> </span>data<span class="_ _f"> </span>is<span class="_ _f"> </span><span class="ff7">not<span class="_ _f"> </span>found<span class="_ _9"> </span></span>in<span class="_ _f"> </span>the<span class="_ _f"> </span>cache<span class="_ _c"> </span>memory</span></div><div class="t m0 x17 hb y1ae ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">The<span class="_ _f"> </span><span class="ff1">miss<span class="_ _f"> </span>p<span class="_ _b"></span>enalt<span class="_ _3"></span>y<span class="_ _f"> </span><span class="ff4">refers<span class="_ _f"> </span>to<span class="_ _c"> </span>the<span class="_ _f"> </span><span class="ff7">extra<span class="_ _f"> </span>time<span class="_ _f"> </span>required<span class="_ _c"> </span>to<span class="_ _f"> </span>load<span class="_ _f"> </span>the<span class="_ _c"> </span>data<span class="_ _7"> </span></span>into<span class="_ _f"> </span>cache</span></span></span></div><div class="t m0 x6 hb y1af ff4 fs6 fc0 sc0 ls0 ws0">from<span class="_ _f"> </span>the<span class="_ _c"> </span>main<span class="_ _f"> </span>memo<span class="_ _3"></span>ry<span class="_ _f"> </span>when<span class="_ _f"> </span>a<span class="_ _f"> </span>cache<span class="_ _c"> </span>miss<span class="_ _f"> </span>o<span class="_ _b"></span>ccurs</div><div class="t m0 x17 hb y1b0 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">A<span class="_ _f"> </span><span class="ff1">page<span class="_ _f"> </span>fault<span class="_ _f"> </span></span>o<span class="_ _b"></span>ccurs<span class="_ _c"> </span>when<span class="_ _f"> </span>a<span class="_ _f"> </span>requested<span class="_ _c"> </span>data<span class="_ _f"> </span>is<span class="_ _f"> </span>in<span class="_ _f"> </span>the<span class="_ _c"> </span>process<span class="_ _f"> </span>address<span class="_ _f"> </span>space,<span class="_ _c"> </span>but<span class="_ _f"> </span><span class="ff7">it</span></span></div><div class="t m0 x6 hb y1b1 ff7 fs6 fc0 sc0 ls0 ws0">is<span class="_ _f"> </span>not<span class="_ _c"> </span>currently<span class="_ _f"> </span>lo<span class="_ _b"></span>cated<span class="_ _c"> </span>in<span class="_ _f"> </span>the<span class="_ _f"> </span>main<span class="_ _c"> </span>memory<span class="_ _15"> </span><span class="ff4">(sw<span class="_ _3"></span>ap/pagefile)</span></div><div class="t m0 x17 hb y1b2 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff4">P<span class="_ _3"></span>age<span class="_ _f"> </span><span class="ff1">thrashing<span class="_ _f"> </span></span>o<span class="_ _b"></span>ccurs<span class="_ _c"> </span>when<span class="_ _f"> </span>page<span class="_ _f"> </span>faults<span class="_ _f"> </span>a<span class="_ _3"></span>re<span class="_ _f"> </span>frequent<span class="_ _c"> </span>and<span class="_ _f"> </span>the<span class="_ _f"> </span>OS<span class="_ _f"> </span>spends</span></div><div class="t m0 x6 hb y1b3 ff4 fs6 fc0 sc0 ls0 ws0">significant<span class="_ _f"> </span>time<span class="_ _c"> </span>to<span class="_ _f"> </span>sw<span class="_ _3"></span>ap<span class="_ _f"> </span>data<span class="_ _f"> </span>in<span class="_ _f"> </span>and<span class="_ _c"> </span>out<span class="_ _f"> </span>the<span class="_ _f"> </span>physical<span class="_ _c"> </span>RAM</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">61/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf43" class="pf w0 h0" data-page-no="43"><div class="pc pc43 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Memo<span class="_ _3"></span>ry<span class="_ _9"> </span>Lo<span class="_ _b"></span>calit<span class="_ _3"></span>y</div><div class="t m0 x17 hb y1b4 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff1">Spatial<span class="_ _7"> </span>Lo<span class="_ _b"></span>calit<span class="_ _3"></span>y<span class="_ _f"> </span><span class="ff4">refers<span class="_ _c"> </span>to<span class="_ _f"> </span>the<span class="_ _f"> </span>use<span class="_ _c"> </span>of<span class="_ _f"> </span>data<span class="_ _f"> </span>elements<span class="_ _f"> </span>within</span></span></div><div class="t m0 x6 hb y1b5 ff7 fs6 fc0 sc0 ls0 ws0">relatively<span class="_ _f"> </span>close<span class="_ _c"> </span>storage<span class="_ _c"> </span>lo<span class="_ _b"></span>cations<span class="_ _9"> </span><span class="ff4">e.g.<span class="_ _15"> </span>scan<span class="_ _f"> </span>arra<span class="_ _3"></span>ys<span class="_ _f"> </span>in<span class="_ _c"> </span>increasing<span class="_ _f"> </span>o<span class="_ _3"></span>rder,<span class="_ _f"> </span>matrices<span class="_ _f"> </span>b<span class="_ _3"></span>y</span></div><div class="t m0 x6 hb y1b6 ff4 fs6 fc0 sc0 ls0 ws0">ro<span class="_ _3"></span>w.<span class="_ _d"> </span>It<span class="_ _c"> </span>involves<span class="_ _f"> </span>mechanisms<span class="_ _f"> </span>such<span class="_ _f"> </span>as<span class="_ _c"> </span><span class="ff7">memory<span class="_ _c"> </span>prefetching<span class="_ _9"> </span></span>and<span class="_ _f"> </span><span class="ff7">access<span class="_ _f"> </span>granula<span class="_ _3"></span>rity</span></div><div class="t m0 x6 hb y1b7 ff4 fs6 fc0 sc0 ls0 ws0">When<span class="_ _f"> </span>spatial<span class="_ _c"> </span>lo<span class="_ _b"></span>calit<span class="_ _3"></span>y<span class="_ _f"> </span>is<span class="_ _f"> </span>lo<span class="_ _3"></span>w,<span class="_ _f"> </span>many<span class="_ _f"> </span>w<span class="_ _3"></span>ords<span class="_ _c"> </span>in<span class="_ _f"> </span>the<span class="_ _c"> </span>cache<span class="_ _f"> </span>line<span class="_ _f"> </span>a<span class="_ _3"></span>re<span class="_ _f"> </span>not<span class="_ _f"> </span>used</div><div class="t m0 x17 hb y1b8 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff1">T<span class="_ _8"></span>emp<span class="_ _b"></span>o<span class="_ _3"></span>ral<span class="_ _7"> </span>Lo<span class="_ _b"></span>calit<span class="_ _3"></span>y<span class="_ _f"> </span><span class="ff4">refers<span class="_ _f"> </span>to<span class="_ _c"> </span>the<span class="_ _f"> </span>reuse<span class="_ _f"> </span>of<span class="_ _c"> </span>the<span class="_ _f"> </span>same<span class="_ _f"> </span>data<span class="_ _f"> </span>within<span class="_ _c"> </span>a<span class="_ _f"> </span>relatively</span></span></div><div class="t m0 x6 hb y1b9 ff7 fs6 fc0 sc0 ls0 ws0">small-time<span class="_ _f"> </span>duration<span class="ff4">,<span class="_ _f"> </span>and,<span class="_ _c"> </span>as<span class="_ _f"> </span>consequence,<span class="_ _f"> </span>exploit<span class="_ _f"> </span>lo<span class="_ _3"></span>w<span class="_ _3"></span>er<span class="_ _f"> </span>levels<span class="_ _f"> </span>of<span class="_ _c"> </span>the<span class="_ _f"> </span>memory</span></div><div class="t m0 x6 hb y1ba ff4 fs6 fc0 sc0 ls0 ws0">hiera<span class="_ _3"></span>rchy<span class="_ _f"> </span>(caches),<span class="_ _f"> </span>e.g.<span class="_ _15"> </span>multiple<span class="_ _f"> </span>spa<span class="_ _3"></span>rse<span class="_ _f"> </span>accesses</div><div class="t m0 x6 hb y1bb ff7 fs6 fc0 sc0 ls0 ws0">Heavily<span class="_ _f"> </span>used<span class="_ _c"> </span>memory<span class="_ _c"> </span>lo<span class="_ _b"></span>cations<span class="_ _f"> </span>can<span class="_ _c"> </span>b<span class="_ _b"></span>e<span class="_ _f"> </span>accessed<span class="_ _c"> </span>more<span class="_ _c"> </span>quickly<span class="_ _f"> </span>than<span class="_ _f"> </span>less<span class="_ _c"> </span>heavily</div><div class="t m0 x6 hb y1bc ff7 fs6 fc0 sc0 ls0 ws0">used<span class="_ _f"> </span>locations</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">62/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
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<div id="pf44" class="pf w0 h0" data-page-no="44"><div class="pc pc44 w0 h0"><img class="bi x0 y0 w1 h1" alt="" 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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Co<span class="_ _3"></span>re-to-Co<span class="_ _3"></span>re<span class="_ _9"> </span>Latency</div><div class="t m0 x1 hb y27 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span>slo<span class="_ _3"></span>wing<span class="_ _f"> </span>of<span class="_ _c"> </span>Mo<span class="_ _b"></span>ore’s<span class="_ _c"> </span>Law<span class="_ _c"> </span>and<span class="_ _f"> </span>the<span class="_ _c"> </span>collapse<span class="_ _f"> </span>of<span class="_ _f"> </span>Denna<span class="_ _3"></span>rd<span class="_ _f"> </span>scaling<span class="_ _f"> </span>necessitated<span class="_ _c"> </span>the</div><div class="t m0 x1 hb y28 ff4 fs6 fc0 sc0 ls0 ws0">hiera<span class="_ _3"></span>rchical<span class="_ _f"> </span>organization<span class="_ _c"> </span>of<span class="_ _f"> </span>caches<span class="_ _c"> </span>and<span class="_ _f"> </span>processors<span class="_ _c"> </span>in<span class="_ _f"> </span>the<span class="_ _c"> </span>CPU.<span class="_ _f"> </span><span class="ff7">T<span class="_ _1f"></span>o<span class="_ _b"></span>da<span class="_ _3"></span>y<span class="_ _8"></span>,<span class="_ _f"> </span>CPUs<span class="_ _f"> </span>o<span class="_ _3"></span>rganize</span></div><div class="t m0 x1 hb yd2 ff7 fs6 fc0 sc0 ls0 ws0">their<span class="_ _c"> </span>cores<span class="_ _c"> </span>into<span class="_ _c"> </span>clusters,<span class="_ _c"> </span>chiplets,<span class="_ _f"> </span>and<span class="_ _c"> </span>multi-so<span class="_ _b"></span>ck<span class="_ _3"></span>ets<span class="ff4">.<span class="_ _15"> </span>As<span class="_ _c"> </span>a<span class="_ _f"> </span>result,<span class="_ _c"> </span>how<span class="_ _c"> </span>execution<span class="_ _c"> </span>threads</span></div><div class="t m0 x1 hb y1bd ff4 fs6 fc0 sc0 ls0 ws0">a<span class="_ _3"></span>re<span class="_ _f"> </span>mapp<span class="_ _b"></span>ed<span class="_ _c"> </span>to<span class="_ _f"> </span>cores<span class="_ _c"> </span>has<span class="_ _f"> </span>a<span class="_ _c"> </span>significant<span class="_ _f"> </span>impact<span class="_ _f"> </span>on<span class="_ _f"> </span>the<span class="_ _c"> </span>overall<span class="_ _f"> </span>p<span class="_ _b"></span>erfo<span class="_ _3"></span>rmance</div><div class="t m0 x72 he y1be ffa fs7 fc0 sc0 ls0 ws0">Core-to-Core</div><div class="t m0 x72 he y1bf ffa fs7 fc0 sc0 ls0 ws0">Latency<span class="_ _15"> </span>Heatmap:</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">63/65</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf45" class="pf w0 h0" data-page-no="45"><div class="pc pc45 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Thread<span class="_ _9"> </span>Affinit<span class="_ _3"></span>y</div><div class="t m0 x1 hb y1c0 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span><span class="ff1">thread<span class="_ _f"> </span>affinity<span class="_ _c"> </span></span>refers<span class="_ _f"> </span>to<span class="_ _f"> </span>the<span class="_ _c"> </span>binding<span class="_ _f"> </span>of<span class="_ _f"> </span>a<span class="_ _c"> </span>thread<span class="_ _f"> </span>to<span class="_ _f"> </span>a<span class="_ _c"> </span>sp<span class="_ _b"></span>ecific<span class="_ _f"> </span>execution<span class="_ _c"> </span>unit.<span class="_ _d"> </span>The</div><div class="t m0 x1 hb y1c1 ff4 fs6 fc0 sc0 ls0 ws0">goal<span class="_ _f"> </span>of<span class="_ _c"> </span><span class="ff7">thread<span class="_ _f"> </span>affinit<span class="_ _3"></span>y<span class="_ _15"> </span><span class="ff4">is<span class="_ _f"> </span>imp<span class="_ _3"></span>roving<span class="_ _f"> </span>the<span class="_ _f"> </span>application<span class="_ _c"> </span>p<span class="_ _b"></span>erfo<span class="_ _3"></span>rmance<span class="_ _f"> </span>b<span class="_ _3"></span>y<span class="_ _f"> </span>taking<span class="_ _f"> </span>advantage<span class="_ _c"> </span>of</span></span></div><div class="t m0 x1 hb y1c2 ff4 fs6 fc0 sc0 ls0 ws0">cache<span class="_ _f"> </span>locality<span class="_ _c"> </span>and<span class="_ _f"> </span>optimizing<span class="_ _f"> </span>resource<span class="_ _c"> </span>usage</div><div class="t m0 x1 hb y1c3 ff4 fs6 fc0 sc0 ls0 ws0">Setting<span class="_ _f"> </span>CPU<span class="_ _c"> </span>affinity<span class="_ _c"> </span>can<span class="_ _f"> </span>b<span class="_ _b"></span>e<span class="_ _c"> </span>done<span class="_ _f"> </span>programmatically<span class="_ _5"></span>,<span class="_ _f"> </span>such<span class="_ _f"> </span>as<span class="_ _f"> </span>using<span class="_ _c"> </span>the</div><div class="t m0 x2b hb y1c4 ff6 fs6 fc0 sc0 ls0 ws0">pthread_setaffinity_np<span class="_ _12"> </span><span class="ff4">function<span class="_ _c"> </span>for<span class="_ _c"> </span>POSIX<span class="_ _f"> </span>threads,<span class="_ _f"> </span>o<span class="_ _3"></span>r<span class="_ _f"> </span>at<span class="_ _f"> </span>OS<span class="_ _c"> </span>level<span class="_ _f"> </span>with<span class="_ _f"> </span>the</span></div><div class="t m0 x2b hb y1c5 ff6 fs6 fc0 sc0 ls0 ws0">taskset<span class="_ _12"> </span><span class="ff4">command<span class="_ _c"> </span>and<span class="_ _f"> </span>the<span class="_ _12"> </span></span>sched_setaffinity<span class="_ _12"> </span><span class="ff4">system<span class="_ _c"> </span>call<span class="_ _f"> </span>on<span class="_ _f"> </span>Linux</span></div><div class="t m0 x17 hd y1c6 ff1 fs7 fc3 sc0 ls0 ws0">*Denna<span class="_ _3"></span>rd<span class="_ _c"> </span>Scaling<span class="fff">:<span class="_ _9"> </span>pow<span class="_ _3"></span>er<span class="_ _c"> </span>is<span class="_ _13"> </span>proportional<span class="_ _13"> </span>to<span class="_ _c"> </span>the<span class="_ _13"> </span>area<span class="_ _13"> </span>of<span class="_ _13"> </span>the<span class="_ _c"> </span>transisto<span class="_ _3"></span>r</span></div><div class="t m0 x5 he y1c7 ffa fs7 fc3 sc0 ls0 ws0">CPU<span class="_ _15"> </span>Affinity:<span class="_ _25"> </span>Because<span class="_ _15"> </span>Even<span class="_ _15"> </span>A<span class="_ _15"> </span>Single<span class="_ _15"> </span>Chip<span class="_ _9"> </span>Is<span class="_ _15"> </span>Nonuniform</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">64/65</div><a class="l" href="https://www.jabperf.com/cpu-affinity-because-even-a-single-chip-is-nonuniform/"><div class="d m1" style="border-style:none;position:absolute;left:34.324000px;bottom:1.691000px;width:260.896000px;height:11.154000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf46" class="pf w0 h0" data-page-no="46"><div class="pc pc46 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Memo<span class="_ _3"></span>ry<span class="_ _9"> </span>Ordering<span class="_ _9"> </span>Mo<span class="_ _b"></span>del</div><div class="t m0 x17 hb y1c8 ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff1">Source<span class="_ _7"> </span>co<span class="_ _b"></span>de<span class="_ _f"> </span>order<span class="ff4">:<span class="_ _15"> </span>The<span class="_ _f"> </span>o<span class="_ _3"></span>rder<span class="_ _f"> </span>in<span class="_ _c"> </span>which<span class="_ _f"> </span>the<span class="_ _f"> </span>memo<span class="_ _3"></span>ry<span class="_ _f"> </span>op<span class="_ _b"></span>erations<span class="_ _c"> </span>are<span class="_ _c"> </span>sp<span class="_ _b"></span>ecified<span class="_ _f"> </span>in</span></span></div><div class="t m0 x6 hb y1c9 ff4 fs6 fc0 sc0 ls0 ws0">the<span class="_ _f"> </span>source<span class="_ _c"> </span>co<span class="_ _b"></span>de,<span class="_ _f"> </span>e.g.<span class="_ _15"> </span><span class="ff7">subscript,<span class="_ _f"> </span>dereferencing</span></div><div class="t m0 x17 hb y1ca ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff1">Program<span class="_ _7"> </span>o<span class="_ _3"></span>rder<span class="_ _b"></span><span class="ff4">:<span class="_ _15"> </span>The<span class="_ _c"> </span>order<span class="_ _c"> </span>in<span class="_ _f"> </span>which<span class="_ _f"> </span>the<span class="_ _c"> </span>memory<span class="_ _c"> </span>op<span class="_ _b"></span>erations<span class="_ _f"> </span>a<span class="_ _3"></span>re<span class="_ _f"> </span>sp<span class="_ _b"></span>ecified<span class="_ _c"> </span>at</span></span></div><div class="t m0 x6 hb y1cb ff4 fs6 fc0 sc0 ls0 ws0">assembly<span class="_ _f"> </span>level.<span class="_ _15"> </span>Compilers<span class="_ _f"> </span>can<span class="_ _c"> </span>reorder<span class="_ _c"> </span>instructions<span class="_ _f"> </span>as<span class="_ _f"> </span>pa<span class="_ _3"></span>rt<span class="_ _f"> </span>of<span class="_ _c"> </span>the<span class="_ _f"> </span>optimization</div><div class="t m0 x6 hb y1cc ff4 fs6 fc0 sc0 ls0 ws0">p<span class="_ _3"></span>ro<span class="_ _b"></span>cess</div><div class="t m0 x17 hb y1cd ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff1">Execution<span class="_ _7"> </span>o<span class="_ _3"></span>rder<span class="_ _b"></span><span class="ff4">:<span class="_ _15"> </span>The<span class="_ _c"> </span>order<span class="_ _c"> </span>in<span class="_ _f"> </span>which<span class="_ _f"> </span>the<span class="_ _c"> </span>individual<span class="_ _f"> </span>memory-reference</span></span></div><div class="t m0 x6 hb y1ce ff4 fs6 fc0 sc0 ls0 ws0">instructions<span class="_ _f"> </span>a<span class="_ _3"></span>re<span class="_ _f"> </span>executed<span class="_ _c"> </span>on<span class="_ _f"> </span>a<span class="_ _f"> </span>given<span class="_ _f"> </span>CPU,<span class="_ _c"> </span>e.g.,<span class="_ _f"> </span><span class="ff7">out-of-o<span class="_ _3"></span>rder<span class="_ _f"> </span>execution</span></div><div class="t m0 x17 hb y1cf ffe fs6 fc0 sc0 ls0 ws0">•<span class="_ _6"> </span><span class="ff1">P<span class="_ _3"></span>erceived<span class="_ _7"> </span>order<span class="ff4">:<span class="_ _15"> </span>The<span class="_ _f"> </span>o<span class="_ _3"></span>rder<span class="_ _f"> </span>in<span class="_ _c"> </span>which<span class="_ _f"> </span>a<span class="_ _f"> </span>CPU<span class="_ _f"> </span>perceives<span class="_ _f"> </span>its<span class="_ _f"> </span>memo<span class="_ _3"></span>ry<span class="_ _f"> </span>op<span class="_ _b"></span>erations.</span></span></div><div class="t m0 x6 hb y1d0 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _f"> </span>perceived<span class="_ _f"> </span>order<span class="_ _c"> </span>can<span class="_ _f"> </span>differ<span class="_ _c"> </span>from<span class="_ _f"> </span>the<span class="_ _f"> </span>execution<span class="_ _f"> </span>o<span class="_ _3"></span>rder<span class="_ _f"> </span>due<span class="_ _c"> </span>to<span class="_ _f"> </span>caching,</div><div class="t m0 x6 hb y1d1 ff4 fs6 fc0 sc0 ls0 ws0">interconnect,<span class="_ _f"> </span>and<span class="_ _c"> </span>memory-system<span class="_ _c"> </span>optimizations</div><div class="t m0 x17 he y1d2 ffa fs7 fc3 sc0 ls0 ws0">C++<span class="_ _15"> </span>Memory<span class="_ _15"> </span>Model:<span class="_ _25"> </span>Migrating<span class="_ _15"> </span>from<span class="_ _15"> </span>X86<span class="_ _15"> </span>to<span class="_ _9"> </span>ARM</div><div class="t m0 xb h9 yc ff5 fs5 fc0 sc0 ls0 ws0">65/65</div><a class="l" href="https://arangodb.com/2021/02/cpp-memory-model-migrating-from-x86-to-arm/"><div class="d m1" style="border-style:none;position:absolute;left:34.722000px;bottom:1.561000px;width:209.116000px;height:13.445000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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