Optimization of sparse matrix–vector multiplication using reordering techniques on GPUs-Reference-Cited by-同舟云学术

Optimization of sparse matrix–vector multiplication using reordering techniques on GPUs

Published:2012-03 Issue:2 Volume:36 Page:65-77
ISSN:0141-9331
Container-title:Microprocessors and Microsystems
language:en
Short-container-title:Microprocessors and Microsystems

Author:

Pichel Juan C.,Rivera Francisco F.,Fernández Marcos,Rodríguez Aurelio

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference25 articles.

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3. M. Belgin, G. Back, C.J. Ribbens, Pattern-based sparse matrix representation for memory-efficient SMVM kernels, in: Proceedings of the International Conference on Supercomputing, 2009, pp. 100–109.

4. N. Bell, M. Garland, Efficient sparse matrix–vector multiplication on CUDA, Technical report, NVIDIA, 2008.

5. N. Bell, M. Garland, Implementing sparse matrix–vector multiplication on throughput-oriented processors, in: Proceedings of ACM/IEEE Conference on Supercomputing (SC), 2009.

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