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University of New Mexico
Performance Analysis and Optimization of Hermite Methods on NVIDIA GPUs Using CUDA
Abstract
dc:description.abstractIn this thesis we present the first, to our knowledge, implementation and performance analysis of Hermite methods on GPU accelerated systems. We give analytic background for Hermite methods; give implementations of the Hermite methods on traditional CPU systems as well as on GPUs; give the reader background on basic CUDA programming for GPUs; discuss performance characteristics of GPUs; we give recommended design choices for GPU implementations of Hermite methods; and present and discuss examples which illustrate the effect these design choices have on performance. Lastly, we present areas of future research that may yield increased performance for Hermite methods on GPUs.
Degree
thesis:*- Name thesis:degree_name
- Mathematics
- Level thesis:degree_level
- Masters
- Discipline thesis:degree_discipline
- Mathematics & Statistics
- Year
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Dye, Evan T.
- Contributors dc:contributor
-
- Appelö, Daniel
- Daniel Appelö
- Stephen Lau
- Jens Lorenz
Subjects
dc:subject × 14Rights
- Language dc:language
- English
Identifiers
dc:identifier.*- OAI identifier oai:identifier
- oai:digitalrepository.unm.edu:math_etds-1014