Divide and Conquer on Hybrid GPU-Accelerated Multicore Systems

DOI10.1137/100806783zbMath1248.65041OpenAlexW2048968534MaRDI QIDQ2904837

Christof Vömel, Stanimire Z. Tomov, Jack J. Dongarra

Publication date: 23 August 2012

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/100806783

zbMATH Keywords

performancenumerical examplesparallel computationheterogeneous computingsymmetric eigenvalue problemhybrid architecturemulticoreLAPACKdivide and conquer algorithmgraphics processing units (GPUs)

Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Parallel numerical computation (65Y05)

Uses Software

• LAPACK
• ScaLAPACK
• CUDA
• SBR Toolbox
• TAU
• MAGMA
• PLASMA
• Algorithm 880

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