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

Yuhsiang Mike Tsai, Terry Cojean, Hartwig Anzt
Karlsruhe Institute of Technology, Germany
arXiv:2008.08478 [cs.MS], (19 Aug 2020)

@misc{tsai2020evaluating,

   title={Evaluating the Performance of NVIDIA’s A100 Ampere GPU for Sparse Linear Algebra Computations},

   author={Yuhsiang Mike Tsai and Terry Cojean and Hartwig Anzt},

   year={2020},

   eprint={2008.08478},

   archivePrefix={arXiv},

   primaryClass={cs.MS}

}

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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.
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