tpSpMV: a two-phase large-scale sparse matrix-vector multiplication kernel for manycore architectures

DOI10.1016/j.ins.2020.03.020OpenAlexW3011554625MaRDI QIDQ2663542

Zhuo Tang, Fan Wu, Keqin Li, Yuedan Chen, Guoqing Xiao

Publication date: 19 April 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.03.020

zbMATH Keywords

parallelizationmanycoresparse matrix-vector multiplication (SpMV)CSRSW26010

Mathematics Subject Classification ID

Numerical linear algebra (65F99) Numerical algorithms for specific classes of architectures (65Y10)

Related Items (1)

tpSpMV

Uses Software

• SparseMatrix
• clSpMV
• yaSpMV
• CSR5

Cites Work

• Performance Optimization Using Partitioned SpMV on GPUs and Multicore CPUs
• The university of Florida sparse matrix collection
• Alternating Anderson-Richardson method: an efficient alternative to preconditioned Krylov methods for large, sparse linear systems

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