@inproceedings{bdea139b11e648d0913a21472e6b9d4f,
title = "Parallel time-space processing model based fast N-body simulation on GPUs",
abstract = "The N-body problems simulate the evolution of a system of N bodies where the force exerted on each body arises due to its interaction with all the other bodies in the system. In this paper, we present a novel parallel implementation of N-body gravitational simulation on GPUs. We analyze the current implementation of GPU, and give our new method on implementing N-body algorithm on HD Radeon 5870 GPU of AMD. The experimental results show that this method achieves an acceleration of 413 compared with CPU, and an acceleration up to 5.5 times compared with other GPU based methods.",
keywords = "GPU, N-body, parallel computing, time-space model",
author = "Wei Wang and Hanli Wang and Guo Dong and Haoyang Wei and Guosun Zeng",
year = "2013",
month = feb,
day = "23",
doi = "10.1145/2442992.2442999",
language = "英语",
isbn = "9781450319089",
series = "Proceedings of the 2013 International Workshop on Programming Models and Applications for Multicores and Manycores, PMAM 2013",
publisher = "Association for Computing Machinery",
pages = "63--69",
booktitle = "Proceedings of the 2013 International Workshop on Programming Models and Applications for Multicores and Manycores, PMAM 2013",
address = "美国",
note = "2013 International Workshop on Programming Models and Applications for Multicores and Manycores, PMAM 2013 ; Conference date: 23-02-2013 Through 23-02-2013",
}