M. Tryby, Baha Mirghani, S. Ranjithan, G. Mahinthakumar, Derek Baessler, N. Karonis
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LASSO: a grid-enabled simulation optimization framework
In this paper, we report our experiences developing a grid-enabled framework for solving environmental inverse problems. The solution approach taken here couples environmental simulation models with global search methods and requires the readily available computational resources of the grid for computational tractability. We present a set of results for a ground water release history reconstruction problem, and report significant performance improvements observed for a deployment of the application on the TeraGrid.
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