Extended version of Intl. Workshop on High-level Programming for Heterogeneous and Hierarchical Parallel Systems (HLPGPU)
| Abstract & Keywords |
We propose a data flow based run time system as an efficient tool for supporting execution of parallel code on heterogeneous architectures hosting both multicore CPUs and GPUs. We discuss how the proposed run time system may be the target of both structured parallel applications developed using algorithmic skeletons/parallel design patterns and also more ``domain specific'' programming models. Experimental results demonstrating the feasibility of the approach are presented.
Keywords: fastflow
|
@article{mdf:hplgpu:ppl:12,
volume = {22},
number = {2},
month = jun,
issn = {0129-6264},
author = {Marco Aldinucci and Marco Danelutto and Peter Kilpatrick and Massimo
Torquati},
keywords = {fastflow},
url = {http://calvados.di.unipi.it/storage/paper_files/2012_mdf_PPL-hplgpu.pdf},
abstract = {We propose a data flow based run time system as an efficient tool
for supporting execution of parallel code on heterogeneous
architectures hosting both multicore CPUs and GPUs. We discuss how
the proposed run time system may be the target of both structured
parallel applications developed using algorithmic
skeletons/parallel design patterns and also more ``domain
specific'' programming models. Experimental results demonstrating
the feasibility of the approach are presented.},
title = {Targeting heterogeneous architectures via macro data flow},
year = {2012},
annote = {Extended version of Intl. Workshop on High-level Programming for
Heterogeneous and Hierarchical Parallel Systems (HLPGPU)},
journal = {Parallel Processing Letters},
}
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