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Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse Linear Algebra Computations
arXiv - CS - Mathematical Software Pub Date : 2020-08-19 , DOI: arxiv-2008.08478
Yuhsiang Mike Tsai, Terry Cojean, Hartwig Anzt

GPU accelerators have become an important backbone for scientific high performance computing, and the performance advances obtained from adopting new GPU hardware are significant. In this paper we take a first look at NVIDIA's newest server line GPU, the A100 architecture part of the Ampere generation. Specifically, we assess its performance for sparse linear algebra operations that form the backbone of many scientific applications and assess the performance improvements over its predecessor.

中文翻译:

评估 NVIDIA A100 Ampere GPU 在稀疏线性代数计算中的性能

GPU 加速器已成为科学高性能计算的重要支柱,采用新的 GPU 硬件所获得的性能提升意义重大。在本文中,我们首先了解 NVIDIA 最新的服务器系列 GPU,即 Ampere 一代的 A100 架构部分。具体来说,我们评估其稀疏线性代数运算的性能,这些运算构成了许多科学应用的支柱,并评估了与其前身相比的性能改进。
更新日期:2020-08-20
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