• DocumentCode
    167292
  • Title

    Bohrium: A Virtual Machine Approach to Portable Parallelism

  • Author

    Kristensen, Mads R. B. ; Lund, Simon A. F. ; Blum, Troels ; Skovhede, Kenneth ; Vinter, Brian

  • Author_Institution
    Niels Bohr Inst., Univ. of Copenhagen, Copenhagen, Denmark
  • fYear
    2014
  • fDate
    19-23 May 2014
  • Firstpage
    312
  • Lastpage
    321
  • Abstract
    In this paper we introduce, Bohrium, a runtime-system for mapping vector operations onto a number of different hardware platforms, from simple multi-core systems to clusters and GPU enabled systems. In order to make efficient choices Bohrium is implemented as a virtual machine that makes runtime decisions, rather than a statically compiled library, which is the more common approach. In principle, Bohrium can be used for any programming language but for now, the supported languages are limited to Python, C++ and the. Net framework, e.g. C# and F#. The primary success criteria are to maintain a complete abstraction from low-level details and to provide efficient code execution across different, current and future, processors. We evaluate the presented design through a setup that targets a multi-core CPU, an eight-node Cluster, and a GPU, all preliminary prototypes. The evaluation includes three well-known benchmark applications, Black Sholes, Shallow Water, and N-body, implemented in C++, Python, and C# respectively.
  • Keywords
    C language; parallel processing; virtual machines; Black Sholes; Bohrium; C# language; C++ language; N-body; Python language; Shallow Water; portable parallelism; vector operation mapping; virtual machine; Arrays; Bridges; Hardware; Libraries; Mathematical model; Programming; Vectors; GPU; Heterogeneous Computing; High-Productivity; Parallel Programming Environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel & Distributed Processing Symposium Workshops (IPDPSW), 2014 IEEE International
  • Conference_Location
    Phoenix, AZ
  • Print_ISBN
    978-1-4799-4117-9
  • Type

    conf

  • DOI
    10.1109/IPDPSW.2014.44
  • Filename
    6969406