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Attaining High Performance in General-Purpose Computations on Current Graphics Processors

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High Performance Computing for Computational Science - VECPAR 2008 (VECPAR 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5336))

Abstract

The increase in performance of the last generations of graphics processors (GPUs) has made this class of hardware a coprocessing platform of remarkable success in certain types of operations. In this paper we evaluate the performance of linear algebra and image processing routines, both on classical and unified GPU architectures and traditional processors (CPUs). From this study, we gain insights on the properties that make an algorithm likely to deliver high performance on a GPU.

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Authors and Affiliations

  1. Depto. Ingeniería y Ciencia de los Computadores, Universidad Jaume I, 12.071–Castellón, Spain

    Francisco D. Igual, Rafael Mayo & Enrique S. Quintana-Ortí

Authors
  1. Francisco D. Igual
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  2. Rafael Mayo
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  3. Enrique S. Quintana-Ortí
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Editor information

Editors and Affiliations

  1. Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias s/n, 4200-465, Porto, Portugal

    José M. Laginha M. Palma

  2. University of Toulouse, INP (ENSEEIHT), IRIT, 2 rue Charles-Camichel, 31071, Toulouse CEDEX 7, France

    Patrick R. Amestoy

  3. University of Toulouse, INP (ENSEEIHT); IRIT, rue Charles-Camichel, 31071, Toulouse CEDEX 7, France

    Michel Daydé

  4. Federal University of Rio de Janeiro, P.O. Box 68511, 21941-972, Rio de Janeiro, RJ, Brazil

    Marta Mattoso

  5. Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465, Porto, Portugal

    João Correia Lopes

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© 2008 Springer-Verlag Berlin Heidelberg

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Igual, F.D., Mayo, R., Quintana-Ortí, E.S. (2008). Attaining High Performance in General-Purpose Computations on Current Graphics Processors. In: Palma, J.M.L.M., Amestoy, P.R., Daydé, M., Mattoso, M., Lopes, J.C. (eds) High Performance Computing for Computational Science - VECPAR 2008. VECPAR 2008. Lecture Notes in Computer Science, vol 5336. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92859-1_37

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  • DOI: https://doi.org/10.1007/978-3-540-92859-1_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92858-4

  • Online ISBN: 978-3-540-92859-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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