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Computer Science > Distributed, Parallel, and Cluster Computing

arXiv:2309.00381 (cs)
[Submitted on 1 Sep 2023 (v1), last revised 3 Oct 2023 (this version,
v2)]

Title:Is RISC-V ready for HPC prime-time: Evaluating the 64-core
Sophon SG2042 RISC-V CPU

Authors:Nick Brown, Maurice Jamieson, Joseph Lee, Paul Wang
Download a PDF of the paper titled Is RISC-V ready for HPC
prime-time: Evaluating the 64-core Sophon SG2042 RISC-V CPU, by Nick
Brown and 3 other authors
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    Abstract:The Sophon SG2042 is the world's first commodity 64-core
    RISC-V CPU for high performance workloads and an important
    question is whether the SG2042 has the potential to encourage the
    HPC community to embrace RISC-V.
    In this paper we undertaking a performance exploration of the
    SG2042 against existing RISC-V hardware and high performance x86
    CPUs in use by modern supercomputers. Leveraging the RAJAPerf
    benchmarking suite, we discover that on average, the SG2042
    delivers, per core, between five and ten times the performance
    compared to the nearest widely available RISC-V hardware. We
    found that, on average, the x86 high performance CPUs under test
    outperform the SG2042 by between four and eight times for
    multi-threaded workloads, although some individual kernels do
    perform faster on the SG2042. The result of this work is a
    performance study that not only contrasts this new RISC-V CPU
    against existing technologies, but furthermore shares performance
    best practice.

          Author accepted version of paper in ACM Workshops of The
Comments: International Conference on High Performance Computing,
          Network, Storage, and Analysis (SC-W 2023)
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
Cite as:  arXiv:2309.00381 [cs.DC]
          (or arXiv:2309.00381v2 [cs.DC] for this version)
          https://doi.org/10.48550/arXiv.2309.00381
          Focus to learn more
          arXiv-issued DOI via DataCite
Related   https://doi.org/10.1145/3624062.3624234
DOI:      Focus to learn more
          DOI(s) linking to related resources

Submission history

From: Nick Brown [view email]
[v1] Fri, 1 Sep 2023 10:35:32 UTC (1,242 KB)
[v2] Tue, 3 Oct 2023 08:52:10 UTC (160 KB)
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    Nick Brown and 3 other authors
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