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A Hybrid CPU/GPU Implementation of Computationally Intensive Particle Simulations Using OpenCL

Title data

Hofmann, Michael ; Kiesel, Robert ; Leichsenring, Dirk ; Rünger, Gudula:
A Hybrid CPU/GPU Implementation of Computationally Intensive Particle Simulations Using OpenCL.
In: 17th International Symposium on Parallel and Distributed Computing (ISPDC 2018). - Geneva : IEEE , 2018 . - pp. 9-16
ISBN 978-1-5386-5330-2
DOI: https://doi.org/10.1109/ISPDC2018.2018.00011

Abstract in another language

Particle simulations are popular methods in computational science in areas, such as biology, chemistry, or astrophysics, in which the interaction of particles plays a major role. Efficient implementations of particle simulations often exploit a separation of computations by a cutoff radius. The pairwise interactions between particles are then computed only within the cutoff radius while interactions beyond the cutoff radius might be neglected or computed approximately. Thus, the efficient implementation of the calculations within the cutoff radius can be crucial for an overall efficiency. In this article, we study these computationally intensive inner cutoff radius calculations and propose a portable parallel implementation on a hybrid CPU/GPU architecture. Especially, we have chosen particle methods from the ScaFaCoS library and have implemented a parallel version of the cutoff-based algorithm in OpenCL. Performance results are shown for two different solvers of the ScaFaCoS library. The influences of the particle distribution and the utilized hardware are investigated.

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science II > Chair Applied Computer Science II - Univ.-Prof. Dr. Thomas Rauber
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science II
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 10 Aug 2021 13:11
Last Modified: 10 Aug 2021 13:11
URI: https://eref.uni-bayreuth.de/id/eprint/66755