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Lapedo: hybrid skeletons for programming heterogeneous multicore machines in Erlang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We describe Lapedo, a novel library of hybrid parallel skeletons for programming heterogeneous multi-core/many-core CPU/GPU sys- tems in Erlang. Lapedo’s hybrid skeletons comprise a mixture of CPU and GPU components, allowing skeletons to be flexibly and dynamically mapped to available resources. We also describe a model for deriving near-optimal division of work between CPUs and GPUs, ensuring load balancing between resources. Finally, we evaluate the effectiveness of Lapedo on three realistic use cases from different domains, demonstrating significant speedups compared to executing the same application on only CPU cores or a GPU.
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Details

Original languageEnglish
Title of host publicationParallel Computing
Subtitle of host publicationOn the Road to Exascale
EditorsGerhard R Joubert, Hugh Leather, Mark Parsons, Frans Peters, Mark Sawyer
PublisherIOS Press
Pages185-195
ISBN (Print)9781614996200, 9781614996217
DOIs
Publication statusPublished - Apr 2016
EventInternational Conference on Parallel Computing (ParCo) 2015 - University of Edinburgh, Informatics Forum, Edinburgh, United Kingdom
Duration: 1 Sep 20154 Sep 2015
http://www.parco2015.org/home

Publication series

NameAdvances in Parallel Computing
Volume27

Conference

ConferenceInternational Conference on Parallel Computing (ParCo) 2015
CountryUnited Kingdom
CityEdinburgh
Period1/09/154/09/15
Internet address

    Research areas

  • Parallel skeletons, Heterogeneous systems, GPU Offloading

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