Towards dense linear algebra for hybrid GPU accelerated manycore systems
type: Item
instance of: scholarly article
title: Towards dense linear algebra for hybrid GPU accelerated manycore systems
zbMATH Open document ID: 1204.68268
author: Marc Baboulin
author: Stanimire Tomov
author: Jack Dongarra
published in: Parallel Computing
publication date: 2010-09-02T00:00:00Z
full work available at URL: http://citeseerx.ist.psu.edu/viewdoc/summary
Mathematics Subject Classification ID: 68W10
Mathematics Subject Classification ID: 68M99
Mathematics Subject Classification ID: 65F99
Mathematics Subject Classification ID: 65Y05
zbMATH DE Number: 5777726
zbMATH Keywords: hybrid computing
zbMATH Keywords: dense linear algebra
zbMATH Keywords: parallel algorithms
zbMATH Keywords: multicore processors
zbMATH Keywords: graphics processing units
describes a project that uses: GEMM
describes a project that uses: mctoolbox
describes a project that uses: LAPACK
describes a project that uses: CUDA
describes a project that uses: LINPACK
MaRDI profile type: Publication
OpenAlex ID: W2162322364
cites work: LAPACK Users' Guide
cites work: Minimizing Communication in Numerical Linear Algebra
cites work: Using Mixed Precision for Sparse Matrix Computations to Enhance the Performance while Achieving 64-bit Accuracy
cites work: Communication-optimal parallel and sequential QR and LU factorizations
cites work: Accuracy and Stability of Numerical Algorithms
cites work: GEMM-based level 3 BLAS
cites work: Out-of-core solution of linear systems on graphics processors
cites work: Accelerating the reduction to upper Hessenberg, tridiagonal, and bidiagonal forms through hybrid GPU-based computing
DOI: 10.1016/J.PARCO.2009.12.005
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description: scientific article; zbMATH DE number 5777726