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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 107
PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING
Edited by:
Paper 45

GPU Acceleration of Partial Differential Equation Solvers

P. Iosifidis1, P. Weir1, P. Mariappan1, R. Flanagan1, I. Spence2, P. Kilpatrick2 and J. Fitzsimons3

1NUMA Engineering Services Ltd, Dundalk, Co. Louth, Ireland
2Queen's University, Belfast, United Kingdom
3FUSION Intertrade Ireland, Dublin, Ireland

Full Bibliographic Reference for this paper
P. Iosifidis, P. Weir, P. Mariappan, R. Flanagan, I. Spence, P. Kilpatrick, J. Fitzsimons, "GPU Acceleration of Partial Differential Equation Solvers", in , (Editors), "Proceedings of the Fourth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 45, 2015. doi:10.4203/ccp.107.45
Keywords: GPU acceleration, finite element, partial differential equations, Poisson, plates, plate bending.

Summary
Differential equations are often directly solvable by analytical means only in their one dimensional version. Partial differential equations are generally not solvable by analytical means in two and three dimensions, with the exception of few special cases. In all other cases, numerical approximation methods need to be utilized. One of the most popular methods is the finite element method. The main areas of focus, here, are the Poisson heat equation and the plate bending equation. The purpose of this paper is to provide a quick walkthrough of the various approaches that the authors followed in pursuit of creating optimal solvers, accelerated with the use of graphical processing units, and comparing them in terms of accuracy and time efficiency with existing or self-made non-accelerated solvers.

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