Optimising parallel applications on the grid using irregular array distributions

  • Authors:
  • Radu Prodan;Thomas Fahringer

  • Affiliations:
  • Institute for Computer Science, University of Innsbruck, Innsbruck, Austria;Institute for Computer Science, University of Innsbruck, Innsbruck, Austria

  • Venue:
  • EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
  • Year:
  • 2005

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Abstract

In this paper we propose a new approach for scheduling data parallel applications on the Grid using irregular array distributions. We implement the scheduler as a new case study for using a general purpose experiment management tool that we developed in previous work for performance tuning and optimisation of scientific applications. We report results on scheduling a Jacobi relaxation application on a simulation testbed of the Austrian Grid [2] using a problem independent plug-and-play genetic algorithm.