Accelerating the reduction to upper Hessenberg, tridiagonal, and bidiagonal forms through hybrid GPU-based computing

We present a Hessenberg reduction (HR) algorithm for hybrid systems of homogeneous multicore with GPU accelerators that can exceed 25× the performance of the corresponding LAPACK algorithm running on current homogeneous multicores. This enormous acceleration is due to proper matching of algorithmic...

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Vydané v:	Parallel computing Ročník 36; číslo 12; s. 645 - 654
Hlavní autori:	Tomov, Stanimire, Nath, Rajib, Dongarra, Jack
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2010
Predmet:	Accelerators Algorithms Bidiagonalization Computation Computer programs Dense linear algebra Eigenvalues GPUs Hessenberg reduction Hybrid computing Hybrid systems Reduction Running Tridiagonalization Two-sided factorizations Hybrid computing Bidiagonalization GPUs Tridiagonalization Two-sided factorizations Hessenberg reduction Dense linear algebra
ISSN:	0167-8191, 1872-7336
On-line prístup:	Získať plný text
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