extended-abstract

Towards practical heterogeneous virtual machines

Authors:

James Clarkson,

Michail Papadimitriou,

Maria Xekalaki,

Christos KotselidisAuthors Info & Claims

Programming '18: Companion Proceedings of the 2nd International Conference on the Art, Science, and Engineering of Programming

Pages 46 - 48

https://doi.org/10.1145/3191697.3191730

Published: 09 April 2018 Publication History

Abstract

Heterogeneous computing has emerged as a means to achieve high performance and energy efficiency. Naturally, this trend has been accompanied by changes in software development norms that do not necessarily favor programmers. A prime example is the two most popular heterogeneous programming languages, CUDA and OpenCL, which expose several low-level features to the API making them difficult to use by non-expert users.

Instead of using low-level programming languages, developers tend to prefer more high-level, object-oriented languages typically executed on managed runtime environments. Although many programmers might expect that such languages would have already been adapted for execution on heterogeneous hardware, the reality is that their support is either very limited or totally absent. This paper highlights the main reasons and complexities of enabling heterogeneous managed runtime systems and proposes a number of directions to address those challenges.

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Christos Kotselidis, James Clarkson, Andrey Rodchenko, Andy Nisbet, John Mawer, and Mikel Luján. 2017. Heterogeneous Managed Runtime Systems: A Computer Vision Case Study. In Proceedings of the 13th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE ’17). ACM, New York, NY, USA, 74–82.

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Digital Library

Cited By

Saeedi SSpink TGorgovan CWebb AClarkson JTomusk EDebrunner TKaszyk KGonzalez-De-Aledo PRodchenko ARiley GBodin BKotselidis CFranke BO'Boyle MDavison AKelly PLujan MFurber SWagstaff HNisbet ANardi LMawer JMelot NPalomar OVespa E(2018)Navigating the Landscape for Real-Time Localization and Mapping for Robotics and Virtual and Augmented RealityProceedings of the IEEE10.1109/JPROC.2018.2856739106:11(2020-2039)Online publication date: Nov-2018
https://doi.org/10.1109/JPROC.2018.2856739

Index Terms

Towards practical heterogeneous virtual machines
1. Software and its engineering
  1. Software organization and properties
    1. Contextual software domains
      1. Software infrastructure
        Virtual machines

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cover image ACM Other conferences

Programming '18: Companion Proceedings of the 2nd International Conference on the Art, Science, and Engineering of Programming

April 2018

244 pages

ISBN:9781450355131

DOI:10.1145/3191697

Program Chairs:
Stefan Marr,
Jennifer B. Sartor

Copyright © 2018 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 09 April 2018

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EU Horizon 2020
EPSRC

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<Programming> 2018

<Programming> 2018: 2nd International Conference on the Art, Science, and Engineering of Programming 2018

April 9 - 12, 2018

Nice, France

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Cited By

Saeedi SSpink TGorgovan CWebb AClarkson JTomusk EDebrunner TKaszyk KGonzalez-De-Aledo PRodchenko ARiley GBodin BKotselidis CFranke BO'Boyle MDavison AKelly PLujan MFurber SWagstaff HNisbet ANardi LMawer JMelot NPalomar OVespa E(2018)Navigating the Landscape for Real-Time Localization and Mapping for Robotics and Virtual and Augmented RealityProceedings of the IEEE10.1109/JPROC.2018.2856739106:11(2020-2039)Online publication date: Nov-2018
https://doi.org/10.1109/JPROC.2018.2856739

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