苹果硅在科学计算中的性能

Connor Kenyon, Collin Capano
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引用次数: 5

摘要

随着苹果硅单片系统处理器的发布,以及M1和M1 Ultra在一般使用中显示的令人印象深刻的性能,苹果硅处理器在科学计算中的潜在用途被探索。M1和M1 Ultra都与当前最先进的数据中心gpu进行了比较,包括带PCIe的NVIDIA V100、带NVLink的NVIDIA V100和带PCIe的NVIDIA A100。科学性能是使用使用OpenCL基准测试的可扩展异构计算(SHOC)基准套件来测量的。我们发现,在所有基准测试中,M1处理器的性能都优于gpu。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Apple Silicon Performance in Scientific Computing
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 out perform the GPUs in all benchmarks.
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