GPU-Accelerated Monte Carlo Simulations of Dense Stellar Systems

被引：0
|
作者：
Pattabiraman, B. [1 ]
Umbreit, S. [1 ]
Liao, W. [1 ]
Rasio, F. [1 ]
Kalogera, V. [1 ]
Choudhary, A. [1 ]
机构：
[1] Northwestern Univ, Ctr Interdisciplinary Explorat & Res Astrophys, Evanston, IL 60208 USA
来源：
ADVANCES IN COMPUTATIONAL ASTROPHYSICS: METHODS, TOOLS AND OUTCOMES | 2012年 / 453卷
关键词：
EVOLUTION;
D O I：
暂无
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
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 10(6) 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.
引用
收藏
页码：329 / 332
页数：4
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