基于CUDA的离散粒子系统仿真与实现

HU Qiang-qiang, Jiang Shun-liang, Xu Shao-ping, Dong Tian-wen
{"title":"基于CUDA的离散粒子系统仿真与实现","authors":"HU Qiang-qiang, Jiang Shun-liang, Xu Shao-ping, Dong Tian-wen","doi":"10.1109/BCGIN.2011.132","DOIUrl":null,"url":null,"abstract":"In this paper, NVIDIA's parallel computing architecture CUDA is used to implement a discrete particle simulation system. In the neighbor search part, an algorithm based on hash list is used. In the collision part, the stream of CUDA is used to split one step simulation to four parallel streams, the asynchronous copy method is used to output, then an efficient way to use the CUDA memory model is designed. The results shown that the CUDA's discrete particle system is efficient and effective.","PeriodicalId":127523,"journal":{"name":"2011 International Conference on Business Computing and Global Informatization","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The Simulation and Implementation of Discrete Particle System based on CUDA\",\"authors\":\"HU Qiang-qiang, Jiang Shun-liang, Xu Shao-ping, Dong Tian-wen\",\"doi\":\"10.1109/BCGIN.2011.132\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, NVIDIA's parallel computing architecture CUDA is used to implement a discrete particle simulation system. In the neighbor search part, an algorithm based on hash list is used. In the collision part, the stream of CUDA is used to split one step simulation to four parallel streams, the asynchronous copy method is used to output, then an efficient way to use the CUDA memory model is designed. The results shown that the CUDA's discrete particle system is efficient and effective.\",\"PeriodicalId\":127523,\"journal\":{\"name\":\"2011 International Conference on Business Computing and Global Informatization\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Business Computing and Global Informatization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BCGIN.2011.132\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Business Computing and Global Informatization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BCGIN.2011.132","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

本文采用NVIDIA的并行计算架构CUDA来实现一个离散粒子模拟系统。在邻居搜索部分,采用了基于哈希表的算法。在碰撞部分,采用CUDA流将一步仿真拆分为四个并行流,采用异步复制的方法输出,从而设计了一种有效使用CUDA内存模型的方法。结果表明,CUDA离散粒子系统是高效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Simulation and Implementation of Discrete Particle System based on CUDA
In this paper, NVIDIA's parallel computing architecture CUDA is used to implement a discrete particle simulation system. In the neighbor search part, an algorithm based on hash list is used. In the collision part, the stream of CUDA is used to split one step simulation to four parallel streams, the asynchronous copy method is used to output, then an efficient way to use the CUDA memory model is designed. The results shown that the CUDA's discrete particle system is efficient and effective.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信