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Predicting the Cost and Benefit of Adapting Data Parallel Applications in Clusters
2002
Journal of Parallel and Distributed Computing
This paper examines the problem of adapting data parallel applications in a shared dynamic environment of PC or workstation clusters. We developed an analytic framework to compare and contrast a wide range of adaptation strategies: dynamic load balancing, migration, processor addition and removal. These strategies have been evaluated with respect to the cost and benefit they provide for three representative parallel applications: an iterative jacobi solver for Laplace's equation, gaussian
doi:10.1006/jpdc.2002.1838
fatcat:m5obcfh2m5ckzdpannf5xjw7jy