Hybrid-optimization strategy for the communication of large-scale kinetic monte carlo simulation
文献类型：期刊论文
| 作者 | Wu, Baodong1,2; Li, Shigang1; Zhang, Yunquan1; Nie, Ningming3 |
| 刊名 | Computer physics communications
 |
| 出版日期 | 2017-02-01 |
| 卷号 | 211页码:113-123 |
| 关键词 | Kinetic monte carlo Communication aggregation Shared memory Neighborhood collectives |
| ISSN号 | 0010-4655 |
| DOI | 10.1016/j.cpc.2016.07.008 |
| 通讯作者 | Li, shigang(shigangli.cs@gmail.com) |
| 英文摘要 | The parallel kinetic monte carlo (kmc) algorithm based on domain decomposition has been widely used in large-scale physical simulations. however, the communication overhead of the parallel kmc algorithm is critical, and severely degrades the overall performance and scalability. in this paper, we present a hybrid optimization strategy to reduce the communication overhead for the parallel kmc simulations. we first propose a communication aggregation algorithm to reduce the total number of messages and eliminate the communication redundancy. then, we utilize the shared memory to reduce the memory copy overhead of the intra-node communication. finally, we optimize the communication scheduling using the neighborhood collective operations. we demonstrate the scalability and high performance of our hybrid optimization strategy by both theoretical and experimental analysis. results show that the optimized kmc algorithm exhibits better performance and scalability than the well-known open-source library-spparks. on 32-node xeon e5-2680 cluster (total 640 cores), the optimized algorithm reduces the communication time by 24.8% compared with spparks. (c) 2016 elsevier b.v. all rights reserved. |
| WOS关键词 | GROWTH |
| WOS研究方向 | Computer Science ; Physics |
| WOS类目 | Computer Science, Interdisciplinary Applications ; Physics, Mathematical |
| 语种 | 英语 |
| WOS记录号 | WOS:000390181300015 |
| 出版者 | ELSEVIER SCIENCE BV |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374191 |
| 专题 | 计算机网络信息中心 |
| 通讯作者 | Li, Shigang |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Comp Network Informat Ctr, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Baodong,Li, Shigang,Zhang, Yunquan,et al. Hybrid-optimization strategy for the communication of large-scale kinetic monte carlo simulation[J]. Computer physics communications,2017,211:113-123. |
| APA | Wu, Baodong,Li, Shigang,Zhang, Yunquan,&Nie, Ningming.(2017).Hybrid-optimization strategy for the communication of large-scale kinetic monte carlo simulation.Computer physics communications,211,113-123. |
| MLA | Wu, Baodong,et al."Hybrid-optimization strategy for the communication of large-scale kinetic monte carlo simulation".Computer physics communications 211(2017):113-123. |
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来源：计算机网络信息中心
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