Heterogeneous Multicore Parallel Programming for Graphics Processing Units | Zendy

François Bodin | Zendy; Stéphane Bihan | Zendy

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Heterogeneous Multicore Parallel Programming for Graphics Processing Units

Author(s) -

François Bodin,

Stéphane Bihan

Publication year - 2009

Publication title -

scientific programming

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.269

H-Index - 36

eISSN - 1875-919X

pISSN - 1058-9244

DOI - 10.1155/2009/784893

Subject(s) - computer science , multi core processor , compiler , graphics , parallel computing , cuda , code (set theory) , computer architecture , programming language , operating system , set (abstract data type)

Hybrid parallel multicore architectures based on graphics processing units (GPUs) can provide tremendous computing power. Current NVIDIA and AMD Graphics Product Group hardware display a peak performance of hundreds of gigaflops. However, exploiting GPUs from existing applications is a difficult task that requires non-portable rewriting of the code. In this paper, we present HMPP, a Heterogeneous Multicore Parallel Programming workbench with compilers, developed by CAPS entreprise, that allows the integration of heterogeneous hardware accelerators in a unintrusive manner while preserving the legacy code.

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