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Research Abstracts Online
January 2010 - March 2011

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University of Minnesota Twin Cities
College of Science and Engineering
Department of Civil Engineering

PI: Steven F. Wojtkiewicz

Use of Graphics Processing Units (GPUs) in Uncertainty Quantification

Graphics processing units (GPUs) are rapidly emerging as a more economical and highly competitive alternative to CPU-based parallel computing. As the degree of software control of the GPUs has increased, many researchers have explored their use in non-gaming applications. Recent studies have shown that GPUs consistently outperform their best corresponding CPU-based parallel computing alternatives in single-instruction multiple-data strategies. This project explores the use of GPUs for uncertainty quantification in computational mechanics. Common analysis procedures that are frequently utilized for uncertainty quantification of mechanical and dynamical systems will be considered and their GPU implementations will be developed. It is hoped that considerable gains in computational efficiency can be obtained for these procedures, when implemented on a GPU, thus displaying the use of GPUs as a potential avenue to lessen the computational burden of performing uncertainty quantification of large computational models.

Group Member

Gaurav Gaurav, Graduate Student