Heterogeneous multicore parallel programming for graphics processing units

Issue title: Software Development for Multi-core Computing Systems

Article type: Research Article

Authors: Bodin, Francois | Bihan, Stephane

Affiliations: CAPS entreprise, 4 allée Marie Berhaut, 35000 Rennes, France

Note: [] Corresponding author. Tel.: +33 222 511 600; E-mail: Stephane. Bihan@caps-entreprise.com.

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.

Keywords: Heterogeneous programming, GPUs, compiler, runtime

DOI: 10.3233/SPR-2009-0292

Journal: Scientific Programming, vol. 17, no. 4, pp. 325-336, 2009