Parallel LU Factorization on GPU Cluster | Zendy

E. D’Azevedo | Zendy; Judith Hill | Zendy

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Parallel LU Factorization on GPU Cluster

Author(s) -

E. D’Azevedo,

Judith Hill

Publication year - 2012

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2012.04.008

Subject(s) - computer science , parallel computing , gpu cluster , factorization , cluster (spacecraft) , computational science , cuda , computer graphics (images) , algorithm , operating system

This paper describes our progressindeveloping softwarefor performing parallelLUfactorizationofalarge 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 GPUdevices. Comparisonof the performancegainsversus the current ScaLAPACK PZGETRF are provided

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