A survey of sparse matrix-vector multiplication performance on large matrices

Christopher Thiele; Faruk O. Alpak; Florian Frank; Mauricio Araya-Polo; Max Grossman; Vivek Sarkar

arxiv: 1608.00636 · v1 · pith:I27DVM4Lnew · submitted 2016-08-01 · 💻 cs.PF · cs.DC· math.NA

A survey of sparse matrix-vector multiplication performance on large matrices

Max Grossman , Christopher Thiele , Mauricio Araya-Polo , Florian Frank , Faruk O. Alpak , Vivek Sarkar This is my paper

classification 💻 cs.PF cs.DCmath.NA

keywords intellargelibrarymatricesmatrix-vectorpackageperformancesoftware

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We contribute a third-party survey of sparse matrix-vector (SpMV) product performance on industrial-strength, large matrices using: (1) The SpMV implementations in Intel MKL, the Trilinos project (Tpetra subpackage), the CUSPARSE library, and the CUSP library, each running on modern architectures. (2) NVIDIA GPUs and Intel multi-core CPUs (supported by each software package). (3) The CSR, BSR, COO, HYB, and ELL matrix formats (supported by each software package).

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A survey of sparse matrix-vector multiplication performance on large matrices

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