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A Solution Framework for Environmental Characterization Problems
Citation:
TRYBY, M. E., B. Y. Mirghani, G. K. Mahinthakumar, AND S. R. Ranjithan. A Solution Framework for Environmental Characterization Problems. The International Journal of High Performance Computing Applications. SAGE Publications USA, Thousand Oaks, CA, 24(3):265-283, (2010).
Impact/Purpose:
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Description:
This paper describes 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 readily available computational resources of the grid for computational tractability. The solution framework developed by the authors uses a master worker strategy for task distribution and a pool for task mapping. Solution and computational performance results are presented for groundwater source identification and release history reconstruction problems. They indicate that high quality solutions and significant raw performance improvements were attained for a deployment of the solution framework on the TeraGrid.
URLs/Downloads:
TRYBY 09 087 ABSTRACT.PDF (PDF, NA pp, 11 KB, about PDF)A Solution Framework for Environmental Characterization Problems
