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Talk Abstract
Optimization, Engineering, and Cluster Computing
Optimization, Engineering, and Cluster Computing
Sandia National Labs
Livermore, CA
tgkolda@sandia.gov
http://csmr.ca.sandia.gov/~tgkolda/
We present the Asynchronous Parallel Pattern Search (APPS) algorithm for optimization. Its development was driven by the need to adapt the standard parallel pattern search method to a cluster computing environment, where proceesors may have different speeds and faults of individual processors are frequent. This adaptation required us to redesign the original algorithm, and resulted in an overall faster method.
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