Talk
Abstract:
Optimization, Engineering, and Cluster
Computing
Tamara G. Kolda
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.
Connecting
Women in Mathematical Sciences to Industry
2000-2001
Program: Mathematics in Multimedia
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