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

dc.contributor.authorGovender, Nicolin
dc.contributor.authorWilke, Daniel Nicolas
dc.contributor.authorKok, Schalk
dc.contributor.authorEls, Rosanne
dc.date.accessioned2015-03-18T11:13:48Z
dc.date.available2015-03-18T11:13:48Z
dc.date.issued2014-11
dc.description.abstractUnderstanding 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.librarianhb2015en_ZA
dc.description.urihttp://www.elsevier.com/locate/camen_ZA
dc.identifier.citationGovender, 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.issn0377-0427 (print)
dc.identifier.issn1879-1778 (online)
dc.identifier.other10.1016/j.cam.2013.12.032
dc.identifier.urihttp://hdl.handle.net/2263/44039
dc.language.isoenen_ZA
dc.publisherElsevieren_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.2013.12.032en_ZA
dc.subjectPolyhedraen_ZA
dc.subjectLarge-scale DEMen_ZA
dc.subjectNvidia-Kepleren_ZA
dc.subjectGranular media (GM)en_ZA
dc.subjectDiscrete element method (DEM)en_ZA
dc.subjectGraphical processor unit (GPU)en_ZA
dc.titleDevelopment of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUsen_ZA
dc.typePostprint Articleen_ZA

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Govender_Development_2014.pdf
Size:
9.49 MB
Format:
Adobe Portable Document Format
Description:
Postprint Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: