Fast Poisson solvers for graphics processing units
Myllykoski, M., Rossi, T., & Toivanen, J. (2013). Fast Poisson solvers for graphics processing units. In P. Manninen, & P. Öster (Eds.), Applied Parallel and Scientific Computing: 11th International Conference, PARA 2012, Helsinki, Finland, June 10-13, 2012, Revised Selected Papers (pp. 265-279). Springer. Lecture Notes in Computer Science, 7782. https://doi.org/10.1007/978-3-642-36803-5_19
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Lecture Notes in Computer ScienceDate
2013Copyright
© Springer-Verlag Berlin Heidelberg 2013. This is a final draft version of an article whose final and definitive form has been published by Springer. Published in this repository with the kind permission of the publisher.
Two block cyclic reduction linear system solvers are considered
and implemented using the OpenCL framework. The topics of
interest include a simplified scalar cyclic reduction tridiagonal system
solver and the impact of increasing the radix-number of the algorithm.
Both implementations are tested for the Poisson problem in two and
three dimensions, using a Nvidia GTX 580 series GPU and double precision
floating-point arithmetic. The numerical results indicate up to 6-fold
speed increase in the case of the two-dimensional problems and up to 3-
fold speed increase in the case of the three-dimensional problems when
compared to equivalent CPU implementations run on a Intel Core i7
quad-core CPU.
Publisher
SpringerISBN
978-3-642-36803-5Parent publication ISBN
Conference
International Conference on Applied Parallel and Scientific ComputingIs part of publication
Applied Parallel and Scientific Computing: 11th International Conference, PARA 2012, Helsinki, Finland, June 10-13, 2012, Revised Selected PapersISSN Search the Publication Forum
0302-9743Keywords
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https://converis.jyu.fi/converis/portal/detail/Publication/22166912