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Numerical methods and programming, 2009, Volume 10, Issue 4, Pages 385–388 (Mi vmp391)  

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.
Document Type: Article
UDC: 519.644
Language: Russian
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
Citation in format AMSBIB
\Bibitem{SpeScoGil09}
\by I.~Spence, N.~S.~Scott, C.~J.~Gillan
\paper Enabling science through emerging HPC technologies: accelerating numerical quadrature using a GPU
\jour Num. Meth. Prog.
\yr 2009
\vol 10
\issue 4
\pages 385--388
\mathnet{http://mi.mathnet.ru/vmp391}
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