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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, DN
dc.contributor.author Kok, S
dc.contributor.author Els, R
dc.date.accessioned 2014-06-17T10:29:06Z
dc.date.available 2014-06-17T10:29:06Z
dc.date.issued 2013
dc.identifier.citation Govender, N., Wilke, D.N., Kok, S. and Els, R. 2013. 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_US
dc.identifier.issn 0377-0427
dc.identifier.uri http://www.sciencedirect.com/science/article/pii/S037704271300705X
dc.identifier.uri http://hdl.handle.net/10204/7462
dc.description Copyright: 2013 Elsevier. This is an ABSTRACT ONLY. The definitive version is published in Journal of Computational and Applied Mathematics, vol. 270, pp 386-400 en_US
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_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartofseries Workflow;12614
dc.subject Graphical Processor Unit en_US
dc.subject GPU en_US
dc.subject Discrete Element Method en_US
dc.subject DEM en_US
dc.subject Polyhedra en_US
dc.subject Large-scale DEM en_US
dc.subject Granular media en_US
dc.subject NVIDIA Kepler en_US
dc.title Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs en_US
dc.type Article en_US
dc.identifier.apacitation Govender, N., Wilke, D., Kok, S., & Els, R. (2013). Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs. http://hdl.handle.net/10204/7462 en_ZA
dc.identifier.chicagocitation Govender, Nicolin, DN Wilke, S Kok, and R Els "Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs." (2013) http://hdl.handle.net/10204/7462 en_ZA
dc.identifier.vancouvercitation Govender N, Wilke D, Kok S, Els R. Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs. 2013; http://hdl.handle.net/10204/7462. en_ZA
dc.identifier.ris TY - Article AU - Govender, Nicolin AU - Wilke, DN AU - Kok, S AU - Els, R AB - 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. DA - 2013 DB - ResearchSpace DP - CSIR KW - Graphical Processor Unit KW - GPU KW - Discrete Element Method KW - DEM KW - Polyhedra KW - Large-scale DEM KW - Granular media KW - NVIDIA Kepler LK - https://researchspace.csir.co.za PY - 2013 SM - 0377-0427 T1 - Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs TI - Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs UR - http://hdl.handle.net/10204/7462 ER - en_ZA


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