Parallel short range molecular dynamics simulations on computer clusters: Performance evaluation and modeling

被引:2
|
作者
Karakasidis, TE [1 ]
Cholevas, NS
Liakopoulos, AB
机构
[1] Univ Thessaly, Hydromech Lab, Sch Engn, Volos 38334, Volos, Greece
[2] Univ Thessaly, Dept Mech & Ind Engn, Sch Engn, Volos 38334, Volos, Greece
关键词
molecular dynamics; parallel simulations; Lennard-Jones liquid; cluster computing; distributed computing; MPI; atom decomposition;
D O I
10.1016/j.mcm.2005.09.007
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper describes the performance of a portable molecular dynamics code running on an eight-node PC cluster. The molecular dynamics code is based on the atom decomposition method for distributing the computation load among the processors and the MPI protocol for managing communications among processors. We discuss the changes made to the serial code with an effort to maintain its readability. We examined the program performance for system sizes of order 10(2) to 10(4) atoms and number of processors varying from 1 to 8, by measuring the total execution time and the corresponding speedup, as well as the communication time for data exchange and the time for the calculation of interatomic forces. Using simple communication and computation load considerations, we propose models in order to explain the observed behaviour and predict the optimal usage of the cluster. It turns out that using few parameters that can be easily measured one can predict quite accurately the optimal usage of small clusters running short range molecular dynamics programs. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:783 / 798
页数:16
相关论文
共 50 条
  • [1] Improving the performance of molecular dynamics simulations on parallel clusters
    Borstnik, U
    Hodoscek, M
    Janezic, D
    JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 2004, 44 (02): : 359 - 364
  • [2] Dynamic load balancing for short-range parallel molecular dynamics simulations
    Mo, ZY
    Zhang, JL
    Cai, QD
    INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2002, 79 (02) : 165 - 177
  • [3] Discrete gradients in short-range molecular dynamics simulations
    Grimm, Volker
    Kliesch, Tobias
    Quispel, G. R. W.
    NUMERICAL ALGORITHMS, 2024, 96 (03) : 1189 - 1220
  • [4] Fast Parallel Algorithms for Short-Range Molecular Dynamics
    Plimpton, S.
    University of Kuwait. Journal (Science), 1995, 227 (02):
  • [5] A Pipelined Parallelism Approach to Parallel Short-Range Molecular Dynamics Simulations on Multi-core Platforms
    Liu, Yali
    Chai, Wenyan
    Li, Xiurong
    APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY, 2014, 513-517 : 2207 - 2210
  • [6] Computationally Efficient and Accurate Enantioselectivity Modeling by Clusters of Molecular Dynamics Simulations
    Wijma, Hein J.
    Marrink, Siewert J.
    Janssen, Dick B.
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2014, 54 (07) : 2079 - 2092
  • [7] FAST PARALLEL ALGORITHMS FOR SHORT-RANGE MOLECULAR-DYNAMICS
    PLIMPTON, S
    JOURNAL OF COMPUTATIONAL PHYSICS, 1995, 117 (01) : 1 - 19
  • [8] Domain-based decomposition parallel molecular dynamics algorithm on computer clusters
    Zhao, Jiu-ling
    Zhao, Jiu-Fen
    FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 3, PROCEEDINGS, 2007, : 49 - +
  • [9] MOLECULAR-DYNAMICS SIMULATIONS ON A PARALLEL COMPUTER, PLASTIC CRYSTALS AND RELATED SYSTEMS
    PAWLEY, GS
    BRASS, AM
    DOVE, MT
    REFSON, K
    JOURNAL DE CHIMIE PHYSIQUE ET DE PHYSICO-CHIMIE BIOLOGIQUE, 1985, 82 (2-3) : 249 - 257
  • [10] System-Level Modeling of GPU/FPGA Clusters for Molecular Dynamics Simulations
    Wu, Chunshu
    Bandara, Sahan
    Geng, Tong
    Sachdeva, Vipin
    Sherman, Woody
    Herbordt, Martin
    2021 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE (HPEC), 2021,