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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Bibliographic Details

Published in:	Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design pp. 1 - 6
Main Authors:	Sicheng Li, Yandan Wang, Wujie Wen, Yu Wang, Yiran Chen, Hai Li
Format:	Conference Proceeding
Language:	English
Published:	ACM 01.11.2016
Subjects:	Bandwidth Hardware Kernel Libraries Memory management Runtime Sparse matrices
ISSN:	1558-2434
Online Access:	Get full text
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