A data locality-aware design framework for reconfigurable sparse matrix-vector multiplication kernel

Sparse matrix-vector multiplication (SpMV) is an important computational kernel in many applications. For performance improvement, software libraries designated for SpMV computation have been introduced, e.g., MKL library for CPUs and cuSPARSE library for GPUs. However, the computational throughput...

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Vydané v:	Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design s. 1 - 6
Hlavní autori:	Sicheng Li, Yandan Wang, Wujie Wen, Yu Wang, Yiran Chen, Hai Li
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	ACM 01.11.2016
Predmet:	Bandwidth Hardware Kernel Libraries Memory management Runtime Sparse matrices
ISSN:	1558-2434
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