Multiparticle collision dynamics: GPU accelerated particle-based mesoscale hydrodynamic simulations

Autor:	Gerhard Gompper, Roland G. Winkler, Chien-Cheng Huang, Sunil P. Singh, Elmar Westphal
Rok vydání:	2014
Předmět:	Computer science Graphics processing unit Mesoscale meteorology General Physics and Astronomy Context (language use) Parallel computing Computational science CUDA Collision dynamics Orders of magnitude (time) Hardware and Architecture Fluid dynamics Particle ComputingMethodologies_COMPUTERGRAPHICS
Zdroj:	Computer Physics Communications. 185:495-503
ISSN:	0010-4655
Popis:	The Compute Unified Device Architecture (CUDA) programming language on a graphics processing unit (GPU) is exploited to develop a GPU-based simulation program for the multiparticle collision dynamics (MPC) approach, a particle-based mesoscale hydrodynamic simulation technique. The coarse-grained description of the fluid dynamics in terms of ballistic motion and local stochastic interactions of particles renders MPC inherently highly parallel. We achieve a 1–2 orders of magnitude performance gain over a comparable CPU-core version of the algorithm, depending on the implementation (single threaded or OpenMP). Various aspects of the implementation are discussed in the context of an optimized performance.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c3ab963787aa1b5333a481dac2e95cc7 https://doi.org/10.1016/j.cpc.2013.10.004 Zobrazit plný text záznamu Full Text from ScienceDirect