Conflict-free symmetric sparse matrix-vector multiplication on multicore architectures

Author:

Elafrou Athena1,Goumas Georgios1,Koziris Nectarios1

Affiliation:

1. National Technical University of Athens

Publisher

ACM

Reference52 articles.

1. Christie L. Alappat Georg Hager Olaf Schenk Jonas Thies Achim Basermann Alan R. Bishop Holger Fehske and Gerhard Wellein. 2019. A Recursive Algebraic Coloring Technique for Hardware-Efficient Symmetric Sparse Matrix-Vector Multiplication. CoRR abs/1907.06487 (2019). arXiv:1907.06487 http://arxiv.org/abs/1907.06487 Christie L. Alappat Georg Hager Olaf Schenk Jonas Thies Achim Basermann Alan R. Bishop Holger Fehske and Gerhard Wellein. 2019. A Recursive Algebraic Coloring Technique for Hardware-Efficient Symmetric Sparse Matrix-Vector Multiplication. CoRR abs/1907.06487 (2019). arXiv:1907.06487 http://arxiv.org/abs/1907.06487

2. JR Allwright R Bordawekar PD Coddington K Dincer and CL Martin. 1995. A comparison of parallel graph coloring algorithms. SCCS-666 (1995) 1--19. JR Allwright R Bordawekar PD Coddington K Dincer and CL Martin. 1995. A comparison of parallel graph coloring algorithms. SCCS-666 (1995) 1--19.

3. Vicente H.F. Batista George O. Ainsworth Jr. and Fernando L.B. Ribeiro. 2010. Parallel structurally-symmetric sparse matrix-vector products on multi-core processors. arXiv preprint arXiv:1003.0952 (2010). Vicente H.F. Batista George O. Ainsworth Jr. and Fernando L.B. Ribeiro. 2010. Parallel structurally-symmetric sparse matrix-vector products on multi-core processors. arXiv preprint arXiv:1003.0952 (2010).

4. Implementing sparse matrix-vector multiplication on throughput-oriented processors

5. Block colouring schemes for the SOR method on local memory parallel computers

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