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Numerical methods and programming, 2009, Volume 10, Issue 4, Pages 385–388
(Mi vmp391)
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Вычислительные методы и приложения
Enabling science through emerging HPC technologies: accelerating numerical quadrature using a GPU
I. Spence, N. S. Scott, C. J. Gillan The Queen's University of Belfast
Abstract:
The R-matrix method when applied to the study of intermediate energy electron scattering by the hydrogen atom gives rise to a large number of two electron integrals between numerical
basis functions. Each integral is evaluated independently of the others, thereby rendering this
a prime candidate for a parallel implementation.
In this paper, we present a parallel implementation of this routine which uses a Graphical Processing Unit as a co-processor, giving a speedup of approximately $20$ times when compared with a sequential version. We briefly consider properties of this calculation which make a GPU implementation appropriate with a view to identifying other calculations which might similarly benefit.
Keywords:
numerical integration; R-matrix method; parallel implementation; GPU.
Citation:
I. Spence, N. S. Scott, C. J. Gillan, “Enabling science through emerging HPC technologies: accelerating numerical quadrature using a GPU”, Num. Meth. Prog., 10:4 (2009), 385–388
Linking options:
https://www.mathnet.ru/eng/vmp391 https://www.mathnet.ru/eng/vmp/v10/i4/p385
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Statistics & downloads: |
Abstract page: | 73 | Full-text PDF : | 31 |
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