Heterogeneous multicore parallel programming for graphics processing units
CAPS entreprise, 4 allee Marie Berhaut, 35000 Rennes, France
Scientific Programming, Volume 17, Number 4, 2009
@article{bodin2009heterogeneous,
title={Heterogeneous multicore parallel programming for graphics processing units},
author={Bodin, F. and Bihan, S.},
journal={Scientific Programming},
volume={17},
number={4},
pages={325–336},
year={2009},
publisher={IOS Press}
}
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.
September 9, 2011 by hgpu
