Grid Resource Selection by Application Benchmarking for Computational Haemodynamics Applications

  • Alfredo Tirado-Ramos
  • George Tsouloupas
  • Marios Dikaiakos
  • Peter Sloot
Conference paper

DOI: 10.1007/11428831_66

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3514)
Cite this paper as:
Tirado-Ramos A., Tsouloupas G., Dikaiakos M., Sloot P. (2005) Grid Resource Selection by Application Benchmarking for Computational Haemodynamics Applications. In: Sunderam V.S., van Albada G.D., Sloot P.M.A., Dongarra J.J. (eds) Computational Science – ICCS 2005. ICCS 2005. Lecture Notes in Computer Science, vol 3514. Springer, Berlin, Heidelberg

Abstract

Grid benchmarking for improved computational resource selection can shed a light for improving the performance of computationally intensive applications. In this paper we report on a number of experiments with a biomedical parallel application to investigate the levels of performance offered by hardware resources distributed across a pan-European computational Grid network. We provide a number of performance measurements based on the iteration time per processor and communication delay between processors, for a blood flow simulation benchmark based on the lattice Boltzmann method. We have found that the performance results obtained from real application benchmarking are much more useful for running our biomedical application on a highly distributed grid infrastructure than the regular resource information provided by standard Grid information services to resource brokers.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Alfredo Tirado-Ramos
    • 1
  • George Tsouloupas
    • 2
  • Marios Dikaiakos
    • 2
  • Peter Sloot
    • 1
  1. 1.Faculty of Sciences, Section Computational ScienceUniversity of AmsterdamAmsterdamThe Netherlands
  2. 2.Department of Computer ScienceUniversity of CyprusNicosiaCyprus

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