Anzt et al., 2015 - Google Patents

Energy efficiency and performance frontiers for sparse computations on GPU supercomputers

Anzt et al., 2015

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Document ID
16752959968310277716
Author
Anzt H
Tomov S
Dongarra J
Publication year
Publication venue
Proceedings of the sixth international workshop on programming models and applications for multicores and manycores

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In this paper we unveil some energy efficiency and performance frontiers for sparse computations on GPU-based supercomputers. To do this, we consider state-of-the-art implementations of the sparse matrix-vector (SpMV) product in libraries like cuSPARSE …
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    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
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    • G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
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