One-sided Dense Matrix Factorizations on a Multicore with Multiple GPU Accelerators

One-sided dense matrix factorizations are important computational kernels in many scientific and engineering simulations. In this paper, we propose two extensions of both right-looking (LU and QR) and left-looking (Cholesky) one-sided factorization algorithms to utilize the computing power of curren...

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Bibliographic Details

Published in:	Procedia computer science Vol. 9; pp. 37 - 46
Main Authors:	Yamazaki, Ichitaro, Tomov, Stanimire, Dongarra, Jack
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 2012
Subjects:	Dense linear algebra GPU accelerators one-sided factorization one-sided factorization GPU accelerators Dense linear algebra
ISSN:	1877-0509, 1877-0509
Online Access:	Get full text
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