Improving performance of sparse matrix dense matrix multiplication on large-scale parallel systems-Reference-Cited by-同舟云学术

Improving performance of sparse matrix dense matrix multiplication on large-scale parallel systems

Published:2016-11 Issue: Volume:59 Page:71-96
ISSN:0167-8191
Container-title:Parallel Computing
language:en
Short-container-title:Parallel Computing

Author:

Acer Seher^ORCID,Selvitopi Oguz,Aykanat Cevdet

Funder

PRACE

Scientific and Technological Research Council of Turkey

Publisher

Elsevier BV

Subject

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

Reference44 articles.

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4. A multi-grained distributed implementation of the parallel block conjugate gradient algorithm;Murli;Concurrency Comput. Pract. Exper.,2010

5. A shifted block Lanczos algorithm for solving sparse symmetric generalized eigenproblems;Grimes;SIAM J. Matrix Anal. Appl.,1994

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