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Up to 700k GPU cores, Kepler, and the Exascale future for simulations of star clusters around black holes

2013/12/06 by Peter Berczik, P. Berczik, R. Spurzem +32
Physics and Astronomy · #Astronomy and Astrophysical Research #Astrophysical Phenomena and Observations #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Stellar, planetary, and galactic studies #astro-ph.IM

paper · pdf · doi:10.48550/arxiv.1312.1789

Third International Conference "High Performance Computing" HPC-UA 2013 (Ukraine, Kyiv, October 7-11, 2013). http://hpc-ua.org/hpc-ua-13/files/proceedings/10.pdf

arxiv created 2013/12/06 · openalex publication_date 2013/12/06 · arxiv updated 2013/12/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We present direct astrophysical N-body simulations with up to a few million bodies using our parallel MPI/CUDA code on large GPU clusters in China, Ukraine and Germany, with different kinds of GPU hardware. These clusters are directly linked under the Chinese Academy of Sciences special GPU cluster program in the cooperation of ICCS (International Center for Computational Science). We reach about the half the peak Kepler K20 GPU performance for our phi-GPU code [2], in a real application scenario with individual hierarchically block time-steps with the high (4th, 6th and 8th) order Hermite integration schemes and a real core-halo density structure of the modeled stellar systems. The code and hardware are mainly used to simulate star clusters [23, 24] and galactic nuclei with supermassive black holes [20], in which correlations between distant particles cannot be neglected.

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