Docs @ d292c29

Author: MFC Action

documentation/md_expectedPerformance.html

@@ -137,24 +137,24 @@
 <div class="textblock"><p><a class="anchor" id="autotoc_md54"></a> MFC has been benchmarked on several CPUs and GPU devices. This page shows a summary of these results.</p>
 <h1><a class="anchor" id="autotoc_md55"></a>
 Expected time-steps/hour</h1>
-<p>The following table outlines observed performance as nanoseconds per grid point (ns/GP) per right-hand side evaluation (lower is better). We solve an example 3D, inviscid, 5-equation model problem with two advected species (a total of 8 PDEs). The numerics are WENO5 and the HLLC approximate Riemann solver. We report results for various numbers of grid points per CPU die (or GPU device) and hardware.</p>
+<p>The following table outlines observed performance as nanoseconds per grid point (ns/GP) per equation (eq) per right-hand side (rhs) evaluation (lower is better). We solve an example 3D, inviscid, 5-equation model problem with two advected species (a total of 8 PDEs). The numerics are WENO5 and the HLLC approximate Riemann solver. This case is located in <code>examples/3D_performance_test</code>. We report results for various numbers of grid points per CPU die (or GPU device) and hardware.</p>
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 <th class="markdownTableHeadRight">Hardware   </th><th class="markdownTableHeadCenter"></th><th class="markdownTableHeadCenter">1M GPs   </th><th class="markdownTableHeadCenter">4M GPs   </th><th class="markdownTableHeadCenter">8M GPs   </th><th class="markdownTableHeadCenter">Compiler   </th><th class="markdownTableHeadLeft">Computer    </th></tr>
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-<td class="markdownTableBodyRight">NVIDIA V100   </td><td class="markdownTableBodyCenter">1 device   </td><td class="markdownTableBodyCenter">96   </td><td class="markdownTableBodyCenter">104   </td><td class="markdownTableBodyCenter">104   </td><td class="markdownTableBodyCenter">NVHPC 22.11   </td><td class="markdownTableBodyLeft">PACE Phoenix    </td></tr>
+<td class="markdownTableBodyRight">NVIDIA V100   </td><td class="markdownTableBodyCenter">1 device   </td><td class="markdownTableBodyCenter">12.0   </td><td class="markdownTableBodyCenter">13.0   </td><td class="markdownTableBodyCenter">13.0   </td><td class="markdownTableBodyCenter">NVHPC 22.11   </td><td class="markdownTableBodyLeft">PACE Phoenix    </td></tr>
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-<td class="markdownTableBodyRight">NVIDIA V100   </td><td class="markdownTableBodyCenter">1 device   </td><td class="markdownTableBodyCenter">101   </td><td class="markdownTableBodyCenter">104   </td><td class="markdownTableBodyCenter">104   </td><td class="markdownTableBodyCenter">NVHPC 22.11   </td><td class="markdownTableBodyLeft">OLCF Summit    </td></tr>
+<td class="markdownTableBodyRight">NVIDIA V100   </td><td class="markdownTableBodyCenter">1 device   </td><td class="markdownTableBodyCenter">12.6   </td><td class="markdownTableBodyCenter">13.0   </td><td class="markdownTableBodyCenter">13.0   </td><td class="markdownTableBodyCenter">NVHPC 22.11   </td><td class="markdownTableBodyLeft">OLCF Summit    </td></tr>
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-<td class="markdownTableBodyRight">NVIDIA A100   </td><td class="markdownTableBodyCenter">1 device   </td><td class="markdownTableBodyCenter">71   </td><td class="markdownTableBodyCenter">56   </td><td class="markdownTableBodyCenter">59   </td><td class="markdownTableBodyCenter">NVHPC 23.5   </td><td class="markdownTableBodyLeft">Wingtip    </td></tr>
+<td class="markdownTableBodyRight">NVIDIA A100   </td><td class="markdownTableBodyCenter">1 device   </td><td class="markdownTableBodyCenter">8.9   </td><td class="markdownTableBodyCenter">7.0   </td><td class="markdownTableBodyCenter">7.4   </td><td class="markdownTableBodyCenter">NVHPC 23.5   </td><td class="markdownTableBodyLeft">Wingtip    </td></tr>
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-<td class="markdownTableBodyRight">AMD MI250X   </td><td class="markdownTableBodyCenter">1 GCD   </td><td class="markdownTableBodyCenter">108   </td><td class="markdownTableBodyCenter">90   </td><td class="markdownTableBodyCenter">96   </td><td class="markdownTableBodyCenter">CCE 16.0.1   </td><td class="markdownTableBodyLeft">OLCF Frontier    </td></tr>
+<td class="markdownTableBodyRight">AMD MI250X   </td><td class="markdownTableBodyCenter">1 GCD   </td><td class="markdownTableBodyCenter">13.5   </td><td class="markdownTableBodyCenter">11.3   </td><td class="markdownTableBodyCenter">12   </td><td class="markdownTableBodyCenter">CCE 16.0.1   </td><td class="markdownTableBodyLeft">OLCF Frontier    </td></tr>
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-<td class="markdownTableBodyRight">Intel Xeon Gold 6226   </td><td class="markdownTableBodyCenter">12 cores   </td><td class="markdownTableBodyCenter">1963   </td><td class="markdownTableBodyCenter">1688   </td><td class="markdownTableBodyCenter">1686   </td><td class="markdownTableBodyCenter">GNU 10.3.0   </td><td class="markdownTableBodyLeft">PACE Phoenix    </td></tr>
+<td class="markdownTableBodyRight">Intel Xeon Gold 6226   </td><td class="markdownTableBodyCenter">12 cores   </td><td class="markdownTableBodyCenter">245   </td><td class="markdownTableBodyCenter">211   </td><td class="markdownTableBodyCenter">211   </td><td class="markdownTableBodyCenter">GNU 10.3.0   </td><td class="markdownTableBodyLeft">PACE Phoenix    </td></tr>
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-<td class="markdownTableBodyRight">Apple M2   </td><td class="markdownTableBodyCenter">6 cores   </td><td class="markdownTableBodyCenter">2919   </td><td class="markdownTableBodyCenter">245   </td><td class="markdownTableBodyCenter">4500   </td><td class="markdownTableBodyCenter">GNU 13.2.0   </td><td class="markdownTableBodyLeft">N/A   </td></tr>
+<td class="markdownTableBodyRight">Apple M2   </td><td class="markdownTableBodyCenter">6 cores   </td><td class="markdownTableBodyCenter">365   </td><td class="markdownTableBodyCenter">306   </td><td class="markdownTableBodyCenter">563   </td><td class="markdownTableBodyCenter">GNU 13.2.0   </td><td class="markdownTableBodyLeft">N/A   </td></tr>
 </table>
-<p><b>All results are in nanoseconds (ns) per grid point (gp) per right-hand side (rhs) evaluation. Lower is better.</b></p>
+<p><b>All results are in nanoseconds (ns) per grid point (gp) per equation (eq) per right-hand side (rhs) evaluation, so X ns/gp/eq/rhs. Lower is better.</b></p>
 <h1><a class="anchor" id="autotoc_md56"></a>
 Weak scaling</h1>
 <p>Weak scaling results are obtained by increasing the problem size with the number of processes so that work per process remains constant.</p>

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