Efficient multithreaded untransposed, transposed or symmetric sparse matrix–vector multiplication with the Recursive Sparse Blocks format-Reference-Cited by-同舟云学术

Efficient multithreaded untransposed, transposed or symmetric sparse matrix–vector multiplication with the Recursive Sparse Blocks format

Published:2014-07 Issue:7 Volume:40 Page:251-270
ISSN:0167-8191
Container-title:Parallel Computing
language:en
Short-container-title:Parallel Computing

Author:

Martone Michele

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference31 articles.

1. Iterative Methods for Sparse Linear Systems;Saad,2003

2. Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods;Barrett,1994

3. Templates for the solution of Algebraic Eigenvalue Problems: A Practical Guide,2000

4. K. Asanovic, R. Bodik, B.C. Catanzaro, J.J. Gebis, P. Husbands, K. Keutzer, D.A. Patterson, W.L. Plishker, J. Shalf, S.W. Williams, K.A. Yelick, The landscape of parallel computing research: a view from Berkeley, Technical Report No. UCB/EECS-2006-183, Technical Report, Electrical Engineering and Computer Sciences, University of California at Berkeley, 2006.

5. Performance limitations for sparse matrix–vector multiplications on current multi-core environments;Schubert,2010

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