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

 

Nikos Chrisochoides, Andriy Fedorov, Bruce B. Lowekamp, Marcia Zangrilli and Craig Lee.

 

Published in IEEE International Parallel and Distributed Processing Symposium, pages 204 -- 213, 2003

 

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.