Abstract
Matrices resulting from standard boundary element methods are dense and computationally expensive. To speed up the computational time, the matrix computation is done on a GPU. The parallel processing capability of the Graphics Processing Unit (GPU) allows us to divide complex computing tasks into several thousands of smaller tasks that can be run concurrently. We achieved an acceleration of 31 − 36 in comparison to a computation performed on the CPU, serially.
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References
Schanz, M.: Wave Propagation in Viscoelastic and Poroelastic Continua: A Boundary Element Approach. Lecture Notes in Applied Mechanics, vol. 2 (2001)
Guiggiani, M., Gigante, A.: A general algorithm for multidimensional Cauchy principal value integrals in the boundary element method. J. of Appl. Mech. 57, 906–915 (1990)
Schanz, M.: On a Reformulated Convolution Quadrature Based Boundary Element Method. Computer Modeling in Engineering and Sciences 58, 109–128 (2010)
Dunavant, D.A.: High degree efficient symmetrical Gaussian quadrature rules for the triangle. IJNME 21, 1129–1148 (1985)
NVIDIA Corporation, NVIDIA CUDA C Programming Guide Version 4.0 (June 2011), http://developer.download.nvidia.com/compute/DevZone/docs/html/C/doc/CUDA_C_Programming_Guide.pdf
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Haase, G., Schanz, M., Vafai, S. (2012). Computing Boundary Element Method’s Matrices on GPU. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2011. Lecture Notes in Computer Science, vol 7116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29843-1_39
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DOI: https://doi.org/10.1007/978-3-642-29843-1_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29842-4
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