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Astrophysical particle simulations with large custom GPU clusters on three continents

  • R. Spurzem
  • , P. Berczik
  • , I. Berentzen
  • , K. Nitadori
  • , T. Hamada
  • , G. Marcus
  • , A. Kugel
  • , R. Männer
  • , J. Fiestas
  • , R. Banerjee
  • , R. Klessen

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

We present direct astrophysical N-body simulations with up to six million bodies using our parallel MPICUDA 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.

Original languageEnglish
Pages (from-to)145-151
Number of pages7
JournalComputer Science - Research and Development
Volume26
Issue number3-4
DOIs
StatePublished - Jun 2011
Externally publishedYes

Keywords

  • Computational astrophysics
  • GPU clusters
  • N-Body simulations

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