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Free keywords:
Computer Science, Distributed, Parallel, and Cluster Computing, cs.DC, Physics, Computational Physics, physics.comp-ph
Abstract:
With the release of the Apple Silicon System-on-a-Chip processors, and the
impressive performance shown in general use by both the M1 and M1 Ultra, the
potential use for Apple Silicon processors in scientific computing is explored.
Both the M1 and M1 Ultra are compared to current state-of-the-art data-center
GPUs, including an NVIDIA V100 with PCIe, an NVIDIA V100 with NVLink, and an
NVIDIA A100 with PCIe. The scientific performance is measured using the
Scalable Heterogeneous Computing (SHOC) benchmark suite using OpenCL
benchmarks. We find that both M1 processors outperform the GPUs in all
benchmarks.