<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Hi, in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/HPL-Linpack-with-Intel-MKL-Single-Node-Two-Processors/m-p/1177404#M29096</link>
    <description>&lt;P&gt;Hi,&lt;/P&gt;

&lt;P&gt;&amp;nbsp;This HPL requires 1 MPI process per NUMA node to utilize full bandwidth for main memory and performance will be higher with large problem sizes. Please set PxQ=2x1 and launch two MPI processes with script (runme_intel64_{static, dynamic}). If problem size is small, communication cost will be major bottleneck and performance will be lower. In this case, you could try 1 MPI process instead of two MPI processes.&lt;/P&gt;

&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Thu, 30 Aug 2018 20:22:33 GMT</pubDate>
    <dc:creator>Kazushige_G_Intel</dc:creator>
    <dc:date>2018-08-30T20:22:33Z</dc:date>
    <item>
      <title>HPL Linpack with Intel MKL -- Single Node, Two Processors</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/HPL-Linpack-with-Intel-MKL-Single-Node-Two-Processors/m-p/1177403#M29095</link>
      <description>&lt;P&gt;&lt;SPAN style="font-size: 1em;"&gt;Hi everyone,&lt;/SPAN&gt;&lt;/P&gt;

&lt;P&gt;&amp;nbsp;&lt;/P&gt;

&lt;P&gt;I've compiled HPL with Intel's MPI and Intel MKL but I'm confused about the best way to run it on a single node with two processors (12 cores each). Should I be using mpirun even though I only have a single node? If I try to set my PxQ grid to be 24 then I get an error saying that there are not enough processes. This is alleviated when I use mpirun. But I'm worried about communication overhead. Is it really necessary to use MPI when I've got a single node but with two processors? One of the other things I was confused about was what I should set the mkl option as when linking the MKL Library (cluster vs parallel). I've chosen parallel for the time being.&lt;/P&gt;

&lt;P&gt;Any thoughts?&lt;/P&gt;

&lt;P&gt;Thanks for Reading&lt;/P&gt;

&lt;P&gt;&amp;nbsp;&lt;/P&gt;

&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 29 Aug 2018 19:17:44 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/HPL-Linpack-with-Intel-MKL-Single-Node-Two-Processors/m-p/1177403#M29095</guid>
      <dc:creator>Mare__Johnny</dc:creator>
      <dc:date>2018-08-29T19:17:44Z</dc:date>
    </item>
    <item>
      <title>Hi,</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/HPL-Linpack-with-Intel-MKL-Single-Node-Two-Processors/m-p/1177404#M29096</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;

&lt;P&gt;&amp;nbsp;This HPL requires 1 MPI process per NUMA node to utilize full bandwidth for main memory and performance will be higher with large problem sizes. Please set PxQ=2x1 and launch two MPI processes with script (runme_intel64_{static, dynamic}). If problem size is small, communication cost will be major bottleneck and performance will be lower. In this case, you could try 1 MPI process instead of two MPI processes.&lt;/P&gt;

&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 30 Aug 2018 20:22:33 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/HPL-Linpack-with-Intel-MKL-Single-Node-Two-Processors/m-p/1177404#M29096</guid>
      <dc:creator>Kazushige_G_Intel</dc:creator>
      <dc:date>2018-08-30T20:22:33Z</dc:date>
    </item>
  </channel>
</rss>

