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Physical Sciences and Mathematics Commons

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Computer Sciences

Brigham Young University

Theses/Dissertations

2015

Function optimization

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Full-Text Articles in Physical Sciences and Mathematics

Judicious Use Of Communication For Inherently Parallel Optimization, Andrew W. Mcnabb Mar 2015

Judicious Use Of Communication For Inherently Parallel Optimization, Andrew W. Mcnabb

Theses and Dissertations

Function optimization---finding the minimum or maximum of a given function---is an extremely challenging problem with applications in physics, economics, machine learning, engineering, and many other fields. While optimization is an active area of research, only a portion of this work acknowledges parallel computation, which is now widely available. Today, anyone with a modest budget can buy a cluster with hundreds of cores, pay for access to a supercomputer with thousands of processors, or at least purchase a laptop with 8 cores. Thus, an algorithm that works well in serial but cannot be parallelized is needlessly inefficient in real-life computationalenvironments.We address …