A fast algorithm for particle simulations
Journal of Computational Physics
Computer simulation using particles
Computer simulation using particles
A fast algorithm for particle simulations
Journal of Computational Physics - Special issue: commenoration of the 30th anniversary
GPU Gems 3
Large-scale FFT on GPU clusters
Proceedings of the 24th ACM International Conference on Supercomputing
GPU Computing Gems Emerald Edition
GPU Computing Gems Emerald Edition
Fast ARFTIS reconstruction algorithms using CUDA
HPCA'09 Proceedings of the Second international conference on High Performance Computing and Applications
A fully parallel, high precision, N-body code running on hybrid computing platforms
Journal of Computational Physics
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We present direct astrophysical N-body simulations with up to six million bodies using our parallel MPI-CUDA code on large GPU clusters in Beijing, Berkeley, and Heidelberg, with different kinds of GPU hardware. The clusters are linked in the cooperation of ICCS (International Center for Computational Science). We reach about one third of the peak performance for this code, in a real application scenario with hierarchically block time-steps and a core-halo density structure of the stellar system. The code and hardware is used to simulate dense star clusters with many binaries and galactic nuclei with supermassive black holes, in which correlations between distant particles cannot be neglected.