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GPU-Accelerated Monte Carlo Simulations of Dense Stellar Systems

Bharath Pattabiraman, Stefan Umbreit, Wei-keng Liao, Frederic Rasio, Vassiliki Kalogera, Alok Choudhary
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}

}

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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.
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