2012/04/10 by Jeroen Bédorf, Bédorf, Jeroen, Evghenii Gaburov +3
Computer Science · Physics and Astronomy · #Distributed #FOS: Computer and information sciences #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Parallel #and Cluster Computing (cs.DC) #astro-ph.IM #cs.DC
paper · pdf · doi:10.48550/arxiv.1204.2280
5 pages, 2 figures. Proceedings of "Advances in Computational Astrophysics: methods, tools and outcomes", June 13-17, 2011, Cefalu, Sicily, Italy, eds. Capuzzo Dolcetta, Limongi, Tornambe and Giobbi
arxiv created 2012/04/10 · arxiv updated 2012/04/12
We present a gravitational hierarchical N-body code that is designed to run efficiently on Graphics Processing Units (GPUs). All parts of the algorithm are executed on the GPU which eliminates the need for data transfer between the Central Processing Unit (CPU) and the GPU. Our tests indicate that the gravitational tree-code outperforms tuned CPU code for all parts of the algorithm and show an overall performance improvement of more than a factor 20, resulting in a processing rate of more than 2.8 million particles per second.