Optimizing the SVD Bidiagonalization Process for a Batch of Small Matrices

A challenging class of problems arising in many GPU applications, called batched problems, involves linear algebra operations on many small-sized matrices. We designed batched BLAS (Basic Linear Algebra Subroutines) routines, and in particular the Level-2 BLAS GEMV and the Level-3 BLAS GEMM routines...

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Bibliographic Details

Published in:	Procedia computer science Vol. 108; pp. 1008 - 1018
Main Authors:	Dong, Tingxing, Haidar, Azzam, Tomov, Stanimire, Dongarra, Jack
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 2017
Subjects:	batched Hardware accelerators Singular Value Problems two-sided factorization algorithms batched two-sided factorization algorithms Hardware accelerators Singular Value Problems
ISSN:	1877-0509, 1877-0509
Online Access:	Get full text
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