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Efficient Execution of SkePU Skeleton Programs on the Low-power Multicore Processor Myriad2
Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-5241-0026
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-8976-0484
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2016 (English)In: 2016 24TH EUROMICRO INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, AND NETWORK-BASED PROCESSING (PDP), IEEE , 2016, 398-402 p.Conference paper, Published paper (Refereed)
Abstract [en]

SkePU is a state-of-the-art skeleton programming library for high-level portable programming and efficient execution on heterogeneous parallel computer systems, with a publically available implementation for general-purpose multicore CPU and multi-GPU systems. This paper presents the design, implementation and evaluation of a new back-end of the SkePU skeleton programming library for the new low-power multicore processor Myriad2 by Movidius Ltd. This enables seamless code portability of SkePU applications across both HPC and embedded (Myriad2) parallel computing systems, with decent performance, on these architecturally very diverse types of execution platforms.

Place, publisher, year, edition, pages
IEEE , 2016. 398-402 p.
Series
Euromicro Conference on Parallel Distributed and Network-Based Processing, ISSN 1066-6192
Keyword [en]
SkePU; Myriad2; Skeleton Programming; Energy Efficiency; Embedded Chip; Multicore computing; Heterogeneous computing
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:liu:diva-131719DOI: 10.1109/PDP.2016.123ISI: 000381810900059ISBN: 978-1-4673-8776-7 (print)OAI: oai:DiVA.org:liu-131719DiVA: diva2:1010233
Conference
24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP)
Available from: 2016-10-03 Created: 2016-09-30 Last updated: 2016-10-03

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CiteExportLink to record
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Citation style
  • apa
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