A simple and efficient storage format for SIMD-accelerated SpMV

SpMV (Sparse matrix-vector multiplication) is an essential component in scientific computing and has attracted the attention of researchers in related fields at home and abroad. With the continuous expansion of matrix data, the efficient parallel SpMV algorithm has become a research hotspot for rese...

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Veröffentlicht in:	Cluster computing 2021-12, Vol.24 (4), p.3431-3448
Hauptverfasser:	Bian, Haodong, Huang, Jianqiang, Dong, Runting, Guo, Yuluo, Liu, Lingbin, Huang, Dongqiang, Wang, Xiaoying
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Benchmarks Computation Computer Communication Networks Computer Science Critical point Format Linear algebra Mathematical analysis Matrix algebra Microprocessors Neural networks Operating Systems Processor Architectures SIMD (computers) Sparse matrices Sparsity
Online-Zugang:	Volltext
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