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Formal Methods in Computing
(Most of the papers antecedent to 1995
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mdf:hplgpu:ppl:12 (Article)
Author(s) Marco Aldinucci, Marco Danelutto, Peter Kilpatrick and Massimo Torquati
Title« Targeting heterogeneous architectures via macro data flow »
JournalParallel Processing Letters
Volume22
Number2
Year2012
ISSN number0129-6264
URLhttp://calvados.di.unipi.it/storage/paper_files/2012_mdf_PPL-hplgpu.pdf

Annotation

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

BibTeX code

@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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