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Computer Science > Distributed, Parallel, and Cluster Computing

arXiv:2105.00613 (cs)
[Submitted on 3 May 2021 (v1), last revised 12 Jun 2022 (this
version, v3)]

Title:A C++17 Thread Pool for High-Performance Scientific Computing

Authors:Barak Shoshany
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    Abstract: We present a modern C++17-compatible thread pool
    implementation, built from scratch with high-performance
    scientific computing in mind. The thread pool is implemented as a
    single lightweight and self-contained class, and does not have
    any dependencies other than the C++17 standard library, thus
    allowing a great degree of portability. In particular, our
    implementation does not utilize OpenMP or any other high-level
    multithreading APIs, and thus gives the programmer precise
    low-level control over the details of the parallelization, which
    permits more robust optimizations. The thread pool was
    extensively tested on both AMD and Intel CPUs with up to 40 cores
    and 80 threads. This paper provides motivation, detailed usage
    instructions, and performance tests.

Comments:    23 pages, source code available at this https URL
Subjects:    Distributed, Parallel, and Cluster Computing (cs.DC)
ACM classes: D.1.3; D.1.5
Cite as:     arXiv:2105.00613 [cs.DC]
             (or arXiv:2105.00613v3 [cs.DC] for this version)
             https://doi.org/10.48550/arXiv.2105.00613
             Focus to learn more
             arXiv-issued DOI via DataCite
             https://doi.org/10.5281/zenodo.4742687
Related DOI: Focus to learn more
             DOI(s) linking to related resources

Submission history

From: Barak Shoshany [view email]
[v1] Mon, 3 May 2021 03:04:49 UTC (16 KB)
[v2] Sat, 8 May 2021 16:12:52 UTC (15 KB)
[v3] Sun, 12 Jun 2022 05:37:43 UTC (19 KB)
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