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https://hdl.handle.net/2142/81897
Description
Title
Automatic Differentiation of Parallel Programs
Author(s)
Hovland, Paul Dennis
Issue Date
1997
Doctoral Committee Chair(s)
Heath, Michael T.
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
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.
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