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J. Masek, M. Vorechovsky, "Parallel Implementation of Dynamical Particle System for CUDA", in , (Editors), "Proceedings of the Fifth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 34, 2017. doi:10.4203/ccp.111.34

Keywords: particle dynamical system, parallel implementation, CUDA, serialization of threads, atomic operations, looping.

Summary

The presented paper deals with possible approaches to implementation of solution of dynamical particle system on the NVIDIA CUDA C/C++ platform, namely in scenarios of using the NVIDIA graphic cards with cores of the Kepler family. A simulation of a particle system is typically a computationally demanding task. However, it is possible and beneficial to make the computer implementation of the solution as parallel as possible. This degree of parallelism of the code is limited mainly by capabilities of the hardware used and by the requirements on numerical accuracy.

The presented contribution discusses methodology of the solution algorithm, its parallelized CUDA C performance as well as a derivation and reasoning of correct potential formulation with respect to number of dimensions Nvar and points Nsim as the originally proposed Audze-Eglajs potential has been found to be malfunctioning.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 111 PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING Edited by: Paper 34 Parallel Implementation of Dynamical Particle System for CUDA J. Mašek and M. Vořechovský Institute of Structural Mechanics, Faculty of Civil Engineering, Brno University of Technology, Brno, Czech Republic doi:10.4203/ccp.111.34 purchase the full-text of this paper Full Bibliographic Reference for this paper J. Masek, M. Vorechovsky, "Parallel Implementation of Dynamical Particle System for CUDA", in , (Editors), "Proceedings of the Fifth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 34, 2017. doi:10.4203/ccp.111.34 Keywords: particle dynamical system, parallel implementation, CUDA, serialization of threads, atomic operations, looping. Summary The presented paper deals with possible approaches to implementation of solution of dynamical particle system on the NVIDIA CUDA C/C++ platform, namely in scenarios of using the NVIDIA graphic cards with cores of the Kepler family. A simulation of a particle system is typically a computationally demanding task. However, it is possible and beneficial to make the computer implementation of the solution as parallel as possible. This degree of parallelism of the code is limited mainly by capabilities of the hardware used and by the requirements on numerical accuracy. The presented contribution discusses methodology of the solution algorithm, its parallelized CUDA C performance as well as a derivation and reasoning of correct potential formulation with respect to number of dimensions Nvar and points Nsim as the originally proposed Audze-Eglajs potential has been found to be malfunctioning. purchase the full-text of this paper (price £22) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £45 +P&P)
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