Using sampled information: is it enough for the sparse matrix-vector product locality optimization?-Reference-Cited by-同舟云学术

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Using sampled information: is it enough for the sparse matrix-vector product locality optimization?

Published:2012-10-17 Issue:1 Volume:26 Page:98-117
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Pichel Juan C.¹,Lorenzo Juan A.¹,Rivera Francisco F.¹,Heras Dora B.¹,Pena Tomás F.¹

Affiliation:

1. Centro de Investigación en Tecnoloxías da Información (CITIUS); Universidade de Santiago de Compostela; Santiago de Compostela Spain

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference32 articles.

1. Pichel JC Singh DE Carretero J Reordering algorithms for increasing locality on multicore processors Proceedings of the IEEE International Conference on High Performance Computing and Communications 2008 123 130

2. Several Strategies for Reducing the Bandwidth of Matrices

3. An approximate minimum degree ordering algorithm;Amestoy;SIAM Journal on Matrix Analysis and Applications,1996

4. Effects of ordering strategies and programming paradigms on sparse matrix computations;Oliker;SIAM Review,2002

5. Performance comparison of data-reordering algorithms for sparse matrix-vector multiplication in edge-based unstructured grid computations;Coutinho;International Journal for Numerical Methods in Engineering,2006

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Semiautomatic Acceleration of Sparse Matrix-Vector Product Using OpenACC;Parallel Processing and Applied Mathematics;2016

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