A Case Study of Optimistic Computing on the Grid: Parallel Mesh Generation

  • Authors:
  • Nikos Chrisochoides;Andriy Fedorov;Bruce B. Lowekamp;Marcia Zangrilli;Craig Lee

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
  • Year:
  • 2003

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Abstract

This paper describes our work in creating a case study on optimistic computing for the Grid using parallel mesh generation. For the implementation of parallel mesh generation methods we use a Portable Runtime Environment for Mobile Applications which is extended to provide support for optimistic control using grid performance monitoring and prediction. We will use this case study to develop a methodology for estimating target operating regions for grid applications. The goal of this project is to generalize the experience and knowledge of optimistic grid computing gained through mesh generation into a tool that can be applied to tightly coupled computations in other application domains.