Govender, NicolinWilke, DNKok, SEls, R2014-06-172014-06-172013Govender, 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 386-4000377-0427http://www.sciencedirect.com/science/article/pii/S037704271300705Xhttp://hdl.handle.net/10204/7462Copyright: 2013 Elsevier. This is an ABSTRACT ONLY. The definitive version is published in Journal of Computational and Applied Mathematics, vol. 270, pp 386-400Understanding 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.enGraphical Processor UnitGPUDiscrete Element MethodDEMPolyhedraLarge-scale DEMGranular mediaNVIDIA KeplerArticleGovender, 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/10204/7462Govender, 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/10204/7462Govender 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.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 -