core-performance-openmp

Measure the performance of individual cores with OpenMP.

https://github.com/puzzlef/core-performance-openmp

Science Score: 54.0%

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Measure the performance of individual cores with OpenMP.

Basic Info
  • Host: GitHub
  • Owner: puzzlef
  • License: mit
  • Language: C++
  • Default Branch: main
  • Homepage:
  • Size: 12.7 KB
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Created over 2 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

Measure the performance of individual cores with OpenMP.

You can use this program to measure the performance of individual CPU cores of a system. It works by running a pleasingly parallel workload on each core and measuring the time it takes to complete. The workload is a simple loop that find the sum of all the elements of an array (1 billion 64-bit floating point numbers by default). The program is written in C++ and uses OpenMP to parallelize the workload. To prevent the operating system from moving threads between cores, the program uses the OpenMP affinity API to pin each thread to a specific core.

[!NOTE] You can just copy main.sh to your system and run it. \ For the code, refer to main.cxx.


```bash $ ./main.sh

OMPNUMTHREADS=64

{run=000, thread=000, node=0, core=000, time=2407.0969ms, flops=4.1544e+08}

{run=000, thread=001, node=0, core=032, time=2407.0779ms, flops=4.1544e+08}

{run=000, thread=002, node=1, core=001, time=2407.0649ms, flops=4.1544e+08}

...

```


I run this program on nodes 1, 2, and 4 of our cluster - no core-specific faults are present.

Also below is runtime stabilisation plot (I perform 100 runs of summing a billion elements on each core).



References




ORG DOI

Owner

  • Name: puzzlef
  • Login: puzzlef
  • Kind: organization

A summary of experiments.

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Sahu
    given-names: Subhajit
    orcid: https://orcid.org/0000-0001-5140-6578
title: "puzzlef/core-performance-openmp: Measure the performance of individual cores with OpenMP"
version: 1.0.0
doi: 10.5281/zenodo.10208367
date-released: 2023-11-27

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