Chapter

Computational Science – ICCS 2005

Volume 3514 of the series Lecture Notes in Computer Science pp 534-543

Grid Resource Selection by Application Benchmarking for Computational Haemodynamics Applications

  • Alfredo Tirado-RamosAffiliated withFaculty of Sciences, Section Computational Science, University of Amsterdam
  • , George TsouloupasAffiliated withDepartment of Computer Science, University of Cyprus
  • , Marios DikaiakosAffiliated withDepartment of Computer Science, University of Cyprus
  • , Peter SlootAffiliated withFaculty of Sciences, Section Computational Science, University of Amsterdam

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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.