论文标题

苹果硅在科学计算中的性能

Apple Silicon Performance in Scientific Computing

论文作者

Kenyon, Connor, Capano, Collin

论文摘要

随着Apple Silicon on-A-Chip处理器的释放,以及M1和M1 Ultra的一般用途表现出的令人印象深刻的性能,探索了苹果硅处理器在科学计算中的潜在用途。将M1和M1 Ultra与当前的最新数据中心GPU进行了比较,包括带PCIE的NVIDIA V100,带有NVLINK的NVIDIA V100和带PCIE的NVIDIA A100。使用OpenCL基准测量的可伸缩异质计算(SHOC)基准套件来测量科学性能。我们发现两个M1处理器在所有基准测试中的表现都优于GPU。

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.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源