GPU-Accelerated Monte Carlo Simulations of Dense Stellar Systems
Center for Interdisciplinary Exploration and Research in Astrophysics, Northwestern University, Evanston, USA
Advances in Computational Astrophysics: Methods, Tools, and Outcome, 453, 2012
@inproceedings{pattabiraman2012gpu,
title={GPU-Accelerated Monte Carlo Simulations of Dense Stellar Systems},
author={Pattabiraman, B. and Umbreit, S. and Liao, W. and Rasio, F. and Kalogera, V. and Choudhary, A.},
booktitle={Advances in Computational Astrophysics: Methods, Tools, and Outcome},
volume={453},
pages={329},
year={2012}
}
Computing the interactions between the stars within dense stellar clusters is a problem of fundamental importance in theoretical astrophysics. However, simulating realistic sized clusters of about 106 stars is computationally intensive and often takes a long time to complete. This paper presents the acceleration of a Monte Carlo algorithm for simulating stellar cluster evolution using programmable Graphics Processing Units (GPUs). This acceleration allows to explore physical regimes which were out of reach of current simulations.
September 10, 2012 by hgpu
