Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs

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dc.contributor.author Govender, Nicolin
dc.contributor.author Wilke, Daniel Nicolas
dc.contributor.author Kok, Schalk
dc.contributor.author Els, Rosanne
dc.date.accessioned 2015-03-18T11:13:48Z
dc.date.available 2015-03-18T11:13:48Z
dc.date.issued 2014-11
dc.description.abstract Understanding the dynamical behavior of Granular Media (GM) is extremely important to many industrial processes. Thus simulating the dynamics of GMis critical in the design and optimization of such processes. However, the dynamics of GM is complex in nature and cannot be described by a closed form solution for more than a few particles. A popular and successful approach in simulating the underlying dynamics of GM is by using the Discrete Element Method (DEM). Computational viable simulations are typically restricted to a few particles with realistic complex interactions or a larger number of particles with simplified interactions. This paper introduces a novel DEM based particle simulation code (BLAZEDEM) that is capable of simulating millions of particles on a desktop computer utilizing a NVIDIA Kepler Graphical Processor Unit (GPU) via the CUDA programming model. The GPU framework of BLAZE-DEM is limited to applications that require large numbers of particles with simplified interactions such as hopper flow which exhibits task level parallelism that can be exploited on the GPU. BLAZE-DEM also performs real-time visualization with interactive capabilities. In this paper we discuss our GPU framework and validate our code by comparison between experimental and numerical hopper flow. en_ZA
dc.description.librarian hb2015 en_ZA
dc.description.uri http://www.elsevier.com/locate/cam en_ZA
dc.identifier.citation Govender, N, Wilke, DN, Kok, S & Els, R 2014, 'Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs', Journal of Computational and Applied Mathematics, vol. 270, pp. 386-400. en_ZA
dc.identifier.issn 0377-0427 (print)
dc.identifier.issn 1879-1778 (online)
dc.identifier.other 10.1016/j.cam.2013.12.032
dc.identifier.uri http://hdl.handle.net/2263/44039
dc.language.iso en en_ZA
dc.publisher Elsevier en_ZA
dc.rights © 2013 Elsevier B.V. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Journal of Computational and Applied Mathematics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Computational and Applied Mathematics, vol. 270, pp. 386-400, 2014. doi : 10.1016/j.cam.2013.12.032 en_ZA
dc.subject Polyhedra en_ZA
dc.subject Large-scale DEM en_ZA
dc.subject Nvidia-Kepler en_ZA
dc.subject Granular media (GM) en_ZA
dc.subject Discrete element method (DEM) en_ZA
dc.subject Graphical processor unit (GPU) en_ZA
dc.title Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs en_ZA
dc.type Postprint Article en_ZA


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