Large-Scale Distributed Computational Fluid Dynamics on the Information Power Grid using Globus

  • Authors:
  • Stephen Barnard;Rupak Biswas;Subhash Saini;Robert Van der Wijngaart;Maurice Yarrow;Lou Zechtzer;Ian Foster;Olle Larsson

  • Affiliations:
  • -;-;-;-;-;-;-;-

  • Venue:
  • FRONTIERS '99 Proceedings of the The 7th Symposium on the Frontiers of Massively Parallel Computation
  • Year:
  • 1999

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Abstract

This paper describes an experiment in which a large-scale scientific application developed for tightly-coupled parallel machines is adapted to the distributed execution environment of the Information Power Grid (IPG). A brief overview of the IPG and a description of the computational fluid dynamics (CFD) algorithm are given. The Globus metacomputing toolkit is used as the enabling device for the geographically-distributed computation. Modifications related to latency hiding and load balancing were required for an efficient implementation of the CFD application in the IPG environment. Performance results on a pair of SGI Origin2000 machines indicate that real scientific applications can be effectively implemented on the IPG; however, a significant amount of continued effort is required to make such an environment useful and accessible to scientists and engineers.