Targeting heterogeneous architectures via macro data flow

M. Aldinucci, M. Danelutto, P. Kilpatrick, M. Torquati

Research output: Contribution to journalArticle

6 Citations (Scopus)

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. © 2012 World Scientific Publishing Company.
Original languageEnglish
Article number1240006
Pages (from-to)1-12
Number of pages12
JournalParallel Processing Letters
Volume22
Issue number2
DOIs
Publication statusPublished - 01 Jun 2012

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software
  • Theoretical Computer Science

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