Abstract
Many particle simulations today rely on spherical or analytical particle shape descriptions. They find non-spherical, triangulated particle models computationally infeasible due to expensive collision detections. We propose a hybrid collision detection algorithm based upon an iterative solve of a minimisation problem that automatically falls back to a brute-force comparison-based algorithm variant if the problem is ill-posed. Such a hybrid can exploit the vector facilities of modern chips and it is well-prepared for the arising manycore era. Our approach pushes the boundary where non-analytical particle shapes and the aligning of more accurate first principle physics become manageable.
T. Koziara—This work has been sponsored by EPSRC (Engineering and Physical Sciences Research Council) and EDF Energy as part of an ICASE studentship (award ref 1429338). It made use of the facilities of the Hamilton HPC Service of Durham University. All software is freely available from https://github.com/KonstantinosKr/delta (pronounced/written \(\varDelta \)).
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Krestenitis, K., Weinzierl, T., Koziara, T. (2018). Fast DEM Collision Checks on Multicore Nodes. In: Wyrzykowski, R., Dongarra, J., Deelman, E., Karczewski, K. (eds) Parallel Processing and Applied Mathematics. PPAM 2017. Lecture Notes in Computer Science(), vol 10777. Springer, Cham. https://doi.org/10.1007/978-3-319-78024-5_12
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DOI: https://doi.org/10.1007/978-3-319-78024-5_12
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