Heterogeneous multicore parallel programming for graphics processing units

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Abstract

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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APA

Bodin, F., & Bihan, S. (2009). Heterogeneous multicore parallel programming for graphics processing units. Scientific Programming, 17(4), 325–335. https://doi.org/10.3233/SPR-2009-0292

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