中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Efficient and Large-Scale Dissipative Particle Dynamics Simulations on GPU

文献类型:期刊论文

作者Yang, Keda; Bai, Zhiqiang; Su, Jiaye; Guo, Hongxia
刊名SOFT MATERIALS
出版日期2014-04-03
卷号12期号:2页码:185-196
关键词Large-scale Gpu Gym_dpd Thermal Fluctuation Analysis Dissipative Particle Dynamics
ISSN号1539-445X
DOI10.1080/1539445X.2013.858359
英文摘要In this paper, we introduce a complete implementation for efficient and large-scale dissipative particle dynamics (DPD) simulation on Graphics Processing Unit (GPU). The implementation is designed and optimized according to the nature of DPD simulation technique and also takes fully advantage of the computational power of GPUs. From studies of benchmarks, we show that the GPU-based implementation can predict the results correctly and provide nearly 60 times speedup over LAMMPS on a single Central Processing Unit (CPU) core. By using a novel divide-and-conquer (D&C) algorithm to reduce the memory requirement in simulation, our implementation has the capability to perform large-scale DPD simulations with some ten millions of particles on a single current GPU. Furthermore, the thermal fluctuation analysis of a superior large-scale lamellar system (11,059,200 particles) is presented as an important example of practical application of our implementation, and a scaling law at large wavelengths that is inaccessible to small simulation system, is observed. As a result, our GPU-based DPD implementation is very promising for studying various interesting phenomena, which often take place on the mesoscopic length and time scales and are not easily addressed by a conventional CPU-based implementation.
语种英语
WOS记录号WOS:000334071000007
出版者TAYLOR & FRANCIS INC
源URL[http://ir.iccas.ac.cn/handle/121111/52057]  
专题中国科学院化学研究所
通讯作者Guo, Hongxia
作者单位Chinese Acad Sci, Inst Chem, State Key Lab Polymer Phys & Chem, Beijing Natl Lab Mol Sci,Joint Lab Polymer Sci &, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Yang, Keda,Bai, Zhiqiang,Su, Jiaye,et al. Efficient and Large-Scale Dissipative Particle Dynamics Simulations on GPU[J]. SOFT MATERIALS,2014,12(2):185-196.
APA Yang, Keda,Bai, Zhiqiang,Su, Jiaye,&Guo, Hongxia.(2014).Efficient and Large-Scale Dissipative Particle Dynamics Simulations on GPU.SOFT MATERIALS,12(2),185-196.
MLA Yang, Keda,et al."Efficient and Large-Scale Dissipative Particle Dynamics Simulations on GPU".SOFT MATERIALS 12.2(2014):185-196.

入库方式: OAI收割

来源:化学研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。