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 language | English |
|---|---|
| Pages (from-to) | 145-151 |
| Number of pages | 7 |
| Journal | Computer Science - Research and Development |
| Volume | 26 |
| Issue number | 3-4 |
| DOIs | |
| State | Published - Jun 2011 |
| Externally published | Yes |
Keywords
- Computational astrophysics
- GPU clusters
- N-Body simulations
Fingerprint
Dive into the research topics of 'Astrophysical particle simulations with large custom GPU clusters on three continents'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver