Developer Guide

Developer Guide for Intel® oneAPI Math Kernel Library Linux*

ID 766690
Date 12/16/2022
Public

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Running the Intel® Distribution for LINPACK* Benchmark

To run the Intel® Distribution for LINPACK Benchmark on multiple nodes or on one node with multiple MPI processes, you need to use MPI and either modify HPL.dat or use Ease-of-use Command-line Parameters. The following example describes how to run the dynamically-linked prebuilt Intel® Distribution for LINPACK Benchmark binary using the script provided. To run other binaries, adjust the steps accordingly; specifically, change line 58 of runme_intel64_dynamic to point to the appropriate binary.

  1. Load the necessary environment variables for the Intel MPI Library and Intel® compiler:

    <compiler directory>/env/vars.sh

    <mpi directory>/env/vars.sh

  2. In HPL.dat, set the problem size N to 10000. Because this setting is for a test run, the problem size should be small.

  3. For better performance, enable non-uniform memory access (NUMA) on your system and configure to run an MPI process for each NUMA socket as explained below.

    NOTE:

    High-bandwidth Multi-Channel Dynamic Random Access Memory (MCDRAM) on the second-generation Intel® Xeon® Phi processors may appear to be a NUMA node. However, because there are no CPUs on this node, do not run an MPI process for it.

    • Refer to your BIOS settings to enable NUMA on your system.

    • Set the following variables at the top of the runme_intel64_dynamic script according to your cluster configuration:

      MPI_PROC_NUM
      The total number of MPI processes.
      MPI_PER_NODE
      The number of MPI processes per each cluster node.
    • In the HPL.dat file, set the parameters Ps and Qs so that Ps * Qs equals the number of MPI processes. For example, for 2 processes, set Ps to 1 and Qs to 2. Alternatively, leave the HPL.dat file as is and launch with -p and -q command-line parameters.

  4. Execute runme_intel64_dynamic script:

    ./runme_intel64_dynamic

  5. Rerun the test increasing the size of the problem until the matrix size uses about 80% of the available memory. To do this, either modify Ns in line 6 of HPL.dat or use the -n command-line parameter:

    • For 16 GB: 40000 Ns

    • For 32 GB: 56000 Ns

    • For 64 GB: 83000 Ns

Product and Performance Information

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.

Notice revision #20201201

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