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Title:Automatic Differentiation of Parallel Programs
Author(s):Hovland, Paul Dennis
Doctoral Committee Chair(s):Heath, Michael T.
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Computer Science
Abstract:We also describe how the tools and techniques developed to enable AD of parallel programs were applied to a variety of applications, ranging from a simple test problem to a parallel molecular dynamics application. The results confirm the need for and efficacy of several techniques. They also verify the prediction that the program generated by AD will generally demonstrate better speedup and scalability than the original program. We conclude with some brief remarks on how AD can be applied to other types of parallel programs and a description of how this work relates to other research in the areas of AD and scientific computing.
Issue Date:1997
Description:102 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.
Other Identifier(s):(MiAaPQ)AAI9812626
Date Available in IDEALS:2015-09-25
Date Deposited:1997

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