2006 | OriginalPaper | Buchkapitel
Model Optimization and Parameter Estimation with Nimrod/O
verfasst von : David Abramson, Tom Peachey, Andrew Lewis
Erschienen in: Computational Science – ICCS 2006
Verlag: Springer Berlin Heidelberg
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Optimization problems where the evaluation step is computationally intensive are becoming increasingly common in both engineering design and model parameter estimation. We describe a tool, Nimrod/O, that expedites the solution of such problems by performing evaluations concurrently, utilizing a range of platforms from workstations to widely distributed parallel machines. Nimrod/O offers a range of optimization algorithms adapted to take advantage of parallel batches of evaluations. We describe a selection of case studies where Nimrod/O has been successfully applied, showing the parallelism achieved by this approach.