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GrADSolve – RPC for High Performance Computing on the Grid

  • Sathish Vadhiyar
  • Jack Dongarra
  • Asim YarKhan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2790)

Abstract

Although high performance computing has been achieved over computational Grids using various techniques, the support for high performance computing on the Grids using Remote Procedure Call (RPC) mechanisms is fairly limited. In this paper, we discuss a RPC system called GrADSolve that supports execution of parallel applications over Grid resources. GrADSolve employs powerful scheduling techniques for dynamically choosing the resources used for the execution of parallel applications and also uses robust data staging mechanisms based on the data distribution used by the end application. Experiments and results are presented to prove that GrADSolve’s data staging mechanisms can significantly reduce the overhead associated with data movement in current RPC systems.

Keywords

High Performance Computing Parallel Application Grid Resource Execution Trace Data Staging 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Sathish Vadhiyar
    • 1
  • Jack Dongarra
    • 1
  • Asim YarKhan
    • 1
  1. 1.Computer Science DepartmentUniversity of TennesseeKnoxville

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