Implementations of grid-based distributed parallel computing

被引:2
|
作者
Lin, Weiwei [1 ]
Gu, Changgeng [2 ]
Qi, Deyu [1 ]
Chen, Yuehong [3 ]
Zhang Zhilil [4 ]
机构
[1] South China Univ Technol, Guangzhou 510640, Guangdong, Peoples R China
[2] Xuchang Vocat & Tech Coll, Xuchang, Peoples R China
[3] Polytech Normal Univ, Guangdong, Peoples R China
[4] Xuchang Univ, Xuchang, Peoples R China
基金
中国国家自然科学基金;
关键词
distributed parallel computing; MPI; grid services; globus toolkit;
D O I
10.1109/IMSCCS.2006.78
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Grid computing provides new solutions for numerous complex problems. It is an inevitable trend to implement the distributed parallel computing of large-scale problems with the grid. This paper presents two implementations for distributed parallel computing on Globus Toolkit, a wide-used grid environment. The first implementation, Loosely Coupled Parallel Services is used to achieve the large-scale parallel computing that can be broken down into independent sub-jobs by using the corresponding implementation framework, and the second implementation, Grid MPI Parallel Program is able to deal with specialized applications, which can't easily be split up into numerous independent chunks, by using the proposed implementation framework. Finally, Two examples of large-scale parallel computing based on proposed implementations are achieved and the experimental results are shown. We make a beneficial attempt to implement distributed parallel computing on grid computing environments.
引用
收藏
页码:312 / +
页数:2
相关论文
共 50 条
  • [1] Grid-based Parallel and Distributed Simulation environment
    Kim, CH
    Lee, TD
    Hwang, SC
    Jeong, CS
    [J]. PARALLEL COMPUTING TECHNOLOGIES, PROCEEDINGS, 2003, 2763 : 503 - 508
  • [2] Grid-based Parallel Computing Platform Design and Implementation
    Jian, Jiang
    Yi, He
    [J]. PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 8, 2010, : 563 - 567
  • [3] Estimation of theoretical maximum speedup ratio for parallel computing of grid-based distributed hydrological models
    Liu, Junzhi
    Zhu, A-Xing
    Qin, Cheng-Zhi
    [J]. COMPUTERS & GEOSCIENCES, 2013, 60 : 58 - 62
  • [4] A grid-based parallel maple
    Petcu, D
    Dubu, D
    Paprzycki, M
    [J]. RECENT ADVANCES IN PARALLEL VIRTUAL MACHINE AND MESSAGE PASSING INTERFACE, PROCEEDINGS, 2004, 3241 : 215 - 223
  • [5] A grid-based parallel maple
    Petcu, Dana
    Dubu, Diana
    Paprzycki, Marcin
    [J]. Lect. Notes Comput. Sci., 1600, (215-223):
  • [6] Computational infrastructure for parallel, distributed, and grid-based Monte Carlo computations
    Mascagni, M
    Li, YH
    [J]. LARGE-SCALE SCIENTIFIC COMPUTING, 2003, 2907 : 39 - 52
  • [7] Research and application of the parallel computing method for the grid-based Xin'anjiang model
    Liu, Qian
    Wan, Dingsheng
    Yu, Yufeng
    Zhang, Yangming
    [J]. HYDROLOGY RESEARCH, 2023, 54 (04): : 591 - 605
  • [8] Middleware furthers grid-based computing
    不详
    [J]. R&D MAGAZINE, 2004, 46 (07): : 11 - 11
  • [9] Random number generation for serial, parallel, distributed, and Grid-based financial computations
    Mascagni, Michael
    [J]. 2008 IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL & DISTRIBUTED PROCESSING, VOLS 1-8, 2008, : 2920 - 2920
  • [10] An automatic partition-based parallel algorithm for grid-based distributed hydrological models
    Xu, Zhenwu
    Tang, Guoping
    Jiang, Tao
    Chen, Xiaohua
    Chen, Tao
    Niu, Xiangyu
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2021, 144