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arXiv 2008.08478cs.MScs.PF
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评价NVIDIA的A100安培GPU用于稀疏线性代数计算的性能

Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse Linear Algebra Computations

Yuhsiang Mike Tsai, Terry Cojean, Hartwig Anzt

摘要:

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是显著的。在本文中,我们首先来看看NVIDIA最新的服务器系列GPU,A100架构的安培一代的一部分。具体来说,我们评估其性能稀疏线性代数运算,形成许多科学应用的骨干,并评估其前身的性能改进。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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