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Erschienen in:
2011 | OriginalPaper | Buchkapitel
An Error Correction Solver for Linear Systems: Evaluation of Mixed Precision Implementations
verfasst von : Hartwig Anzt, Vincent Heuveline, Björn Rocker
Erschienen in: High Performance Computing for Computational Science – VECPAR 2010
Verlag: Springer Berlin Heidelberg
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This paper proposes an error correction method for solving linear systems of equations and the evaluation of an implementation using mixed precision techniques.
While different technologies are available, graphic processing units (GPUs) have been established as particularly powerful coprocessors in recent years. For this reason, our error correction approach is focused on a CUDA implementation executing the error correction solver on the GPU.
Benchmarks are performed both for artificially created matrices with preset characteristics as well as matrices obtained from finite element discretizations of fluid flow problems.