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DOE OSTI · 1567287

Parallel LU Factorization on GPU Cluster

D’Azevedo, E.·Hill, J. C.
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Abstract

This paper describes our progress in developing softwarefor performing parallel LU factorization of a large dense matrix on a GPU cluster. Three approaches, with increasing software complexity, are considered: (i) a naive “thunking” approach that links the existing parallel ScaLAPACK software library with cuBLAS through a software emulation layer; (ii) a more intrusive magmaBLAS implementation integrated into the LU solver in the High-Performance Linpack software; and (iii) a left-looking out-of-core algorithm for solving problems that are larger than the available memory on GPU devices. Comparison of the performance gains versus the current ScaLAPACK PZGETRF are provided.

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42 ENGINEERING97 MATHEMATICS AND COMPUTINGGPUparallel dense solver

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BibTeXRIS

D’Azevedo, E., Hill, J. C.. 2012-06-02. Parallel LU Factorization on GPU Cluster. https://doi.org/10.1016/j.procs.2012.04.008

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