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Fast DEM collision checks on multicore nodes

Krestenitis, Konstantinos; Weinzierl, Tobias; Koziara, Tomasz

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Authors

Konstantinos Krestenitis

Tomasz Koziara



Contributors

Roman Wyrzykowski
Editor

J. J. Dongarra
Editor

Ewa Deelman
Editor

Konrad Karczewski
Editor

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.

Citation

Krestenitis, K., Weinzierl, T., & Koziara, T. (2018). Fast DEM collision checks on multicore nodes. In R. Wyrzykowski, J. . J. Dongarra, E. Deelman, & K. Karczewski (Eds.), Parallel processing and applied mathematics : 12th International conference, PPAM 2017, Lublin, Poland, September 10-13 ; revised selected papers. Part 1 (123-132). https://doi.org/10.1007/978-3-319-78024-5_12

Conference Name 12th International Conference on Parallel Processing and Applied Mathematics (PPAM) 2017
Conference Location Lublin, Poland
Start Date Sep 10, 2017
End Date Sep 13, 2017
Acceptance Date Sep 4, 2017
Online Publication Date Mar 23, 2018
Publication Date Mar 23, 2018
Deposit Date Sep 4, 2017
Publicly Available Date Mar 23, 2019
Pages 123-132
Series Title Lecture notes in computer science
Series Number 10777
Series ISSN 0302-9743,1611-3349
Book Title Parallel processing and applied mathematics : 12th International conference, PPAM 2017, Lublin, Poland, September 10-13 ; revised selected papers. Part 1.
ISBN 9783319780238
DOI https://doi.org/10.1007/978-3-319-78024-5_12
Public URL https://durham-repository.worktribe.com/output/1146453

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