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An Exploration of CUDA and CBEA for Einstein@Home

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Parallel Processing and Applied Mathematics (PPAM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6067))

Abstract

We present a detailed approach for making use of two new computer hardware architectures–CBEA and CUDA–for accelerating a scientific data-analysis application (Einstein@Home). Our results suggest that both the architectures suit the application quite well and the achievable performance in the same software developmental time-frame is nearly identical.

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References

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Author information

Authors and Affiliations

  1. Research Group Programming Languages / Methodologies, Universität Kassel, Kassel, Germany

    Jens Breitbart

  2. Physics Department, University of Massachusetts at Dartmouth, North Dartmouth, MA, USA

    Gaurav Khanna

Authors
  1. Jens Breitbart
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  2. Gaurav Khanna
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Editor information

Editors and Affiliations

  1. Institute of Computational and Information Sciences, Czestochowa University of Technology,  

    Roman Wyrzykowski

  2. Department of Electrical Engineering and Computer Science, University of Tennessee, TN 37996-3450, Knoxville, USA

    Jack Dongarra

  3. Institute of Computer and Information Science, Czestochowa University of Technology, Dabrowskiego 73, PL-42-200, Czestochowa, Poland

    Konrad Karczewski

  4. Department of Informatics and Mathematical Modeling, Technical University of Denmark, Richard Petersens Plads, Building 321, 2800, Kongens Lyngby, Denmark

    Jerzy Wasniewski

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Breitbart, J., Khanna, G. (2010). An Exploration of CUDA and CBEA for Einstein@Home. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2009. Lecture Notes in Computer Science, vol 6067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14390-8_51

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  • DOI: https://doi.org/10.1007/978-3-642-14390-8_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14389-2

  • Online ISBN: 978-3-642-14390-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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