Skip to main content

Advertisement

SpringerLink
Log in
Menu
Find a journal Publish with us
Search
Cart
Book cover

European Conference on Parallel Processing

Euro-Par 2011: Euro-Par 2011: Parallel Processing Workshops pp 260–269Cite as

  1. Home
  2. Euro-Par 2011: Parallel Processing Workshops
  3. Conference paper
Mainstream Parallel Array Programming on Cell

Mainstream Parallel Array Programming on Cell

  • Paul Keir30,
  • Paul W. Cockshott30 &
  • Andrew Richards31 
  • Conference paper
  • 1318 Accesses

  • 1 Citations

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7155)

Abstract

We present the E\(\sharp\) compiler and runtime library for the ‘F’ subset of the Fortran 95 programming language. ‘F’ provides first-class support for arrays, allowing E\(\sharp\) to implicitly evaluate array expressions in parallel using the SPU co-processors of the Cell Broadband Engine. We present performance results from four benchmarks that all demonstrate absolute speedups over equivalent ‘C’ or Fortran versions running on the PPU host processor. A significant benefit of this straightforward approach is that a serial implementation of any code is always available, providing code longevity, and a familiar development paradigm.

Keywords

  • Array Expression
  • Direct Memory Access
  • Fortran Compiler
  • Heterogeneous Architecture
  • Runtime Library

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Download conference paper PDF

References

  1. Sipelstein, J., Blelloch, G.E.: Collection-Oriented Languages. Proceedings of the IEEE 79, 504–523 (1991)

    CrossRef  Google Scholar 

  2. Guo, J., Thiyagalingam, J., Scholz, S.-B.: Breaking the GPU programming barrier with the auto-parallelising SAC compiler. In: Proceedings of the Sixth Workshop on Declarative Aspects of Multicore Programming, pp. 15–24. ACM Press (2011)

    Google Scholar 

  3. Weiland, M.: Chapel, Fortress and X10: novel languages for HPC. EPCC, The University of Edinburgh, Tech. Rep. HPCxTR0706 (October 2007)

    Google Scholar 

  4. Tarditi, D., Puri, S., Oglesby, J.: Accelerator: Using Data Parallelism to Program GPUs for General-Purpose Uses. In: Proceedings of the 12th International Conference on Architectural Support for Programming Languages and Operating Systems. ACM Press (2006)

    Google Scholar 

  5. Keller, G., Chakravarty, M.M., Leshchinskiy, R., Peyton Jones, S., Lippmeier, B.: Regular, shape-polymorphic, parallel arrays in Haskell. In: Proceedings of the 15th ACM SIGPLAN International Conference on Functional Programming, pp. 261–272. ACM Press (2010)

    Google Scholar 

  6. Cooper, P., Dolinsky, U., Donaldson, A.F., Richards, A., Riley, C., Russell, G.: Offload – Automating Code Migration to Heterogeneous Multicore Systems. In: Patt, Y.N., Foglia, P., Duesterwald, E., Faraboschi, P., Martorell, X. (eds.) HiPEAC 2010. LNCS, vol. 5952, pp. 337–352. Springer, Heidelberg (2010)

    CrossRef  Google Scholar 

  7. Rasmussen, C.E., Sottile, M.J., Shende, S.S., Malony, A.D.: Bridging the language gap in scientific computing: the Chasm approach. Concurrency and Computation: Practice and Experience 18, 151–162 (2006)

    CrossRef  Google Scholar 

  8. Donaldson, A.F., Keir, P., Lokhmotov, A.: Compile-Time and Run-Time Issues in an Auto-Parallelisation System for the Cell BE Processor. In: César, E., et al. (eds.) Euro-Par 2008 Workshops. LNCS, vol. 5415, pp. 163–173. Springer, Heidelberg (2008)

    CrossRef  Google Scholar 

  9. Lars Nyland, M.H., Prins, J.: Fast N-Body Simulation with CUDA. In: Nguyen, H. (ed.) GPU Gems 3, pp. 677–694. Addison-Wesley Professional (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computing Science, University of Glasgow, UK

    Paul Keir & Paul W. Cockshott

  2. Codeplay Software Ltd., Edinburgh, UK

    Andrew Richards

Authors
  1. Paul Keir
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Paul W. Cockshott
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Andrew Richards
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Scilytics, Koellnerhofgasse 3/15A, 1010, Vienna, Austria

    Michael Alexander

  2. ICAR-CNR, Via P. Castellino, 111, 80131, Napoli, Italy

    Pasqua D’Ambra

  3. University of Amsterdam, 1090, Amsterdam, Netherlands

    Adam Belloum

  4. Innovative Computing Laboratory, The University of Tennessee, USA

    George Bosilca

  5. Department of Experimental Medicine and Clinic, University Magna Græcia, 88100, Catanzaro, Italy

    Mario Cannataro

  6. Computer Science Department, University of Pisa, Italy

    Marco Danelutto

  7. Second University of Naples, Italy

    Beniamino Di Martino

  8. TU München, Boltzmannstr. 3, 85748, Garching, Germany

    Michael Gerndt

  9. Equipe Runtime, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Emmanuel Jeannot & Raymond Namyst & 

  10. Equipe HIEPACS, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Jean Roman

  11. Oak Ridge National Laboratory, Computer Science and Mathematics Division, 37831-6164, Oak Ridge, TN, USA

    Stephen L. Scott

  12. Department of Scientific Computing, University of Vienna, Nordbergstr. 15/3C, 1090, Vienna, Austrial

    Jesper Larsson Traff

  13. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA

    Geoffroy Vallée

  14. Technische Universität München, Germany

    Josef Weidendorfer

Rights and permissions

Reprints and Permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Keir, P., Cockshott, P.W., Richards, A. (2012). Mainstream Parallel Array Programming on Cell. In: Alexander, M., et al. Euro-Par 2011: Parallel Processing Workshops. Euro-Par 2011. Lecture Notes in Computer Science, vol 7155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29737-3_30

Download citation

  • .RIS
  • .ENW
  • .BIB
  • DOI: https://doi.org/10.1007/978-3-642-29737-3_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29736-6

  • Online ISBN: 978-3-642-29737-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Share this paper

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Search

Navigation

  • Find a journal
  • Publish with us

Discover content

  • Journals A-Z
  • Books A-Z

Publish with us

  • Publish your research
  • Open access publishing

Products and services

  • Our products
  • Librarians
  • Societies
  • Partners and advertisers

Our imprints

  • Springer
  • Nature Portfolio
  • BMC
  • Palgrave Macmillan
  • Apress
  • Your US state privacy rights
  • Accessibility statement
  • Terms and conditions
  • Privacy policy
  • Help and support

167.114.118.210

Not affiliated

Springer Nature

© 2023 Springer Nature