arXiv Open Access 2022

Apple Silicon Performance in Scientific Computing

Connor Kenyon Collin Capano

Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

cs.DC physics.comp-ph

Penulis (2)

Connor Kenyon

Collin Capano

Format Sitasi

APA MLA BibTeX

Kenyon, C., Capano, C. (2022). Apple Silicon Performance in Scientific Computing. https://arxiv.org/abs/2211.00720

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓