Automatic Differentiation of Parallel Programs

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Hovland, Paul Dennis

Contributors dc:contributor

• Heath, Michael T.

• Computer Science

Language dc:language

eng

Identifier

(MiAaPQ)AAI9812626

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81897