Using GPUs for Parallel Stencil Computations in Relativistic Hydrodynamic Simulation

Autor:	Sebastian Cygert, Jan Sikorski, Marcin Słodkowski, D. P. Kikola, Joanna Porter-Sobieraj
Rok vydání:	2014
Předmět:	Surface (mathematics) Computer science Computation Parallel algorithm Finite difference Parallel computing Stencil Riemann solver Computational science symbols.namesake CUDA Shared memory symbols ComputingMethodologies_COMPUTERGRAPHICS
Zdroj:	Parallel Processing and Applied Mathematics ISBN: 9783642552236 PPAM (1)
DOI:	10.1007/978-3-642-55224-3_47
Popis:	This paper explores the possibilities of using a GPU for complex 3D finite difference computation. We propose a new approach to this topic using surface memory and compare it with 3D stencil computations carried out via shared memory, which is currently considered to be the best approach. The case study was performed for the extensive computation of collisions between heavy nuclei in terms of relativistic hydrodynamics.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7bc621187493c65620fc022870db0dee https://doi.org/10.1007/978-3-642-55224-3_47 Zobrazit plný text záznamu