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intro: benefit functions / benchmark tests
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‎app.ts‎

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@@ -40,3 +40,17 @@ figcaptions.forEach(figcaption => {
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figcaption.prepend(span);
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}
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});
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// Adjust table captions
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const tableCaptions = document.querySelectorAll('table>caption');
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tableCaptions.forEach(caption => {
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const span = document.createElement('span');
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span.classList.add('tablecaption');
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span.textContent = `表：`;
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if (!caption.querySelector('span.tablecaption')) {
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caption.prepend(span);
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}
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});

‎index.html‎

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@@ -19,6 +19,7 @@ <h4>在 LLVM 中支持新向量指令集</h4>
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<section>
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<h4>Agenda</h4>
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<ol>
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<li>什么程序向量化有收益？</li>
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<li>基本概念: Module, Function, BasicBlock</li>
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<li>向量化需要做什么工作？</li>
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<li>标量 IR $\to$ 向量 IR：指导已有 Pass</li>
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<li>小结</li>
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</ol>
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</section>
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<section data-auto-animate>
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<h4>什么样的程序做向量化有收益？</h4>
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<table class="spec">
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<caption>bisheng 编译器 -O3 下 SPEC2017 整点课题提升情况</caption>
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<thead>
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<tr>
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<th>类别</th>
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<th>测试项</th>
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<th>关 SIMD</th>
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<th>开 SIMD</th>
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<th>提升</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td rowspan="10">整数</td>
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<td>600.perlbench_s</td>
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<td>3.4</td>
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<td>3.39</td>
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<td class="highlight">-0.29%</td>
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</tr>
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<tr>
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<td>602.gcc_s</td>
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<td>5.79</td>
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<td>5.79</td>
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<td>0.00%</td>
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</tr>
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<tr>
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<td>605.mcf_s</td>
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<td>4.32</td>
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<td>4.1</td>
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<td class="highlight">-5.09%</td>
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</tr>
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<tr>
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<td>620.omnetpp_s</td>
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<td>3.01</td>
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<td>2.99</td>
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<td>-0.66%</td>
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</tr>
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<tr>
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<td>623.xalancbmk_s</td>
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<td>3.45</td>
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<td>3.72</td>
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<td>7.83%</td>
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</tr>
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<tr>
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<td>625.x264_s</td>
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<td>4.1</td>
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<td>7.18</td>
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<td><strong>75.12%</strong></td>
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</tr>
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<tr>
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<td>631.deepsjeng_s</td>
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<td>3.71</td>
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<td>3.65</td>
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<td>-1.62%</td>
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</tr>
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<tr>
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<td>641.leela_s</td>
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<td>3.13</td>
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<td>3.16</td>
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<td>0.96%</td>
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</tr>
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<tr>
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<td>648.exchange2_s</td>
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<td>5.82</td>
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<td>5.91</td>
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<td>1.55%</td>
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</tr>
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<tr>
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<td>657.xz_s</td>
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<td>2.17</td>
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<td>2.23</td>
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<td>2.76%</td>
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</tr>
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<tr>
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<td colspan="2"><strong>几何平均</strong></td>
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<td>3.74</td>
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<td>3.97</td>
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<td>6.29%</td>
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</tr>
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</tbody>
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</table>
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</section>
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<section data-auto-animate>
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<h4>什么样的程序做向量化有收益？</h4>
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<table class="spec">
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<caption>bisheng 编译器 -O3 下 SPEC2017 浮点课题提升情况</caption>
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<thead>
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<tr>
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<th>类别</th>
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<th>测试项</th>
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<th>关 SIMD</th>
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<th>开 SIMD</th>
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<th>提升</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td rowspan="10">浮点</td>
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<td>603.bwaves_s</td>
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<td>10.8</td>
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<td>10.8</td>
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<td>0.00%</td>
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</tr>
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<tr>
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<td>607.cactuBSSN_s</td>
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<td>2.01</td>
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<td>2.02</td>
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<td>0.50%</td>
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</tr>
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<tr>
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<td>619.lbm_s</td>
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<td>3.3</td>
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<td>3.38</td>
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<td>2.42%</td>
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</tr>
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<tr>
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<td>621.wrf_s</td>
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<td>2.09</td>
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<td>3.29</td>
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<td>57.42%</td>
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</tr>
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<tr>
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<td>627.cam4_s</td>
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<td>1.03</td>
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<td>1.03</td>
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<td>0.00%</td>
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</tr>
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<tr>
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<td>628.pop2_s</td>
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<td>1.71</td>
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<td>1.97</td>
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<td>15.20%</td>
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</tr>
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<tr>
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<td>638.imagick_s</td>
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<td>1.6</td>
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<td>1.6</td>
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<td>0.00%</td>
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</tr>
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<tr>
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<td>644.nab_s</td>
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<td>3.91</td>
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<td>3.92</td>
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<td>0.26%</td>
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</tr>
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<tr>
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<td>649.fotonik3d_s</td>
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<td>3.59</td>
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<td>5.14</td>
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<td>43.18%</td>
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</tr>
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<tr>
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<td>654.roms_s</td>
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<td>1.85</td>
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<td>2.79</td>
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<td>50.81%</td>
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</tr>
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<tr>
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<td colspan="2"><strong>几何平均</strong></td>
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<td>2.53</td>
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<td>2.91</td>
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<td>14.99%</td>
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</tr>
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</tbody>
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</table>
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</section>
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<section>
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<h4>基本概念：Module, Function, BasicBlock</h4>
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<ul>

‎style.css‎

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span.figure {
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color: #002176f1;
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}
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table.spec {
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width: 75%;
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border-collapse: collapse;
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font-size: 16px;
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text-align: center;
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border-top: 2px solid black;
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border-bottom: 2px solid black;
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}
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.spec table th,
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.spec table td {
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text-align: center;
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vertical-align: middle;
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}
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.spec table th {
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font-weight: bold;
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text-align: center;
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}
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span.tablecaption {
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color: #002176f1;
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}

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