Advanced Search
Volume 41 Issue 4
Mar.  2019
Turn off MathJax
Article Contents
Zongjing GU, Haoxiang WU, Xunwang ZHAO, Zhongchao LIN, Yu ZHANG, Qi ZHANG. Parallel MoM Using the Six Hundred Thousand Cores on Domestically-made and Many-core Supercomputer[J]. Journal of Electronics & Information Technology, 2019, 41(4): 845-850. doi: 10.11999/JEIT180562
Citation: Zongjing GU, Haoxiang WU, Xunwang ZHAO, Zhongchao LIN, Yu ZHANG, Qi ZHANG. Parallel MoM Using the Six Hundred Thousand Cores on Domestically-made and Many-core Supercomputer[J]. Journal of Electronics & Information Technology, 2019, 41(4): 845-850. doi: 10.11999/JEIT180562

Parallel MoM Using the Six Hundred Thousand Cores on Domestically-made and Many-core Supercomputer

doi: 10.11999/JEIT180562
Funds:  The National Key Research and Development Program of China (2017YFB0202102, 2016YFE0121600), The China Postdoctoral Science Foundation (2017M613068)
  • Received Date: 2018-06-04
  • Rev Recd Date: 2018-12-13
  • Available Online: 2018-12-19
  • Publish Date: 2019-04-01
  • In order to realize safety, reliability and self-control of electromagnetic computing, the large-scale parallel MoM is studied based on domestically-made many-core supercomputer platform named " Tianhe-2”. A new LU decomposition algorithm named Block Diagonal matrix Pivoting LU decomposition (BDPLU) algorithm, is proposed by analyzing the diagonally dominant characteristics of the matrix generated through dispersing electric field integral equation of MoM, for the purpose of communication pressure reduction to computer cluster and solution acceleration to MoM integral equation during large-scale parallel computation. The BDPLU algorithm reduces the amount of calculation in the process of panel factorization. More importantly, the algorithm completely eliminates MPI communication when pivoting. Using BDPLU algorithm, the maximum number of CPU cores break through 6×105 CPU cores, which is the largest scale of parallel MoM computation in domestically-made and many-core supercomputing platform at present, and the parallel efficiency of solving matrix can reach 51.95%. Numerical results show that parallel MoM can accurately and efficiently solve large-scale electromagnetic field problems on domestic supercomputing platform.

  • loading
  • HARRINGTION R F. Field Computation by Moment Methods[M]. New York; IEEE Press, 1993.
    王长清. 现代计算电磁学基础[M]. 北京: 北京大学出版社, 2005: 116–157.

    WANG Changqing. Computational Advanced Electromagnetics[M]. Beijing: PeKing University Press, 2005: 116–157.
    ZHANG Yu and SARKAR T K. Parallel Solution of Integral Equation Based EM Problems in the Frequency Domain [M].Hoboken, USA: Wiley-IEEE, 2009: 107–136.
    张玉, 赵勋旺, 陈岩, 等. 计算电磁学中的大规模并行矩量法[M]. 西安: 西安电子科技大学出版社, 2016: 11210.

    ZHANG Yu, ZHAO Xunwang, CHEN Yan, et al. Massively Parallel Method of Moment in Computational Electromagnetics[M].Xi’an: Xidian University Press, 2016: 11210.
    林中朝, 张爽, 王星, 等. 高阶矩量法在国产超级计算机上的并行性能[J]. 微波学报, 2014, 30(S1): 44–47

    LIN Zhongchao, ZHANG Shuang, WANG Xing, et al. Parallel performance of higher-order MoM on a domestically-made supercomputer[J]. Journal of Microwaves, 2014, 30(S1): 44–47
    林中朝, 陈岩, 张玉, 等. 国产CPU平台中并行高阶矩量法研究[J]. 西安电子科技大学学报, 2015, 42(3): 43–47 doi: 10.3969/j.issn.1001-2400.2015.03.008

    LIN Zhongchao, CHEN Yan, ZHANG Yu, et al. Study of the parallel higher-order MoM on a domestically-made CPU platform[J]. Journal of Xidian University, 2015, 42(3): 43–47 doi: 10.3969/j.issn.1001-2400.2015.03.008
    ZHANG Yu, LIN Zhongchao, ZHAO Xunwang, et al. Performance of a massively parallel higher-order method of moment code using thousands of CPUs and its applications[J]. IEEE Transactions on Antenna Propagation, 2014, 62(12): 6317–6324 doi: 10.1109/TAP.2014.2361135
    ZHAO Xunwang, CHEN Yan, ZHANG Huanhuan, et al. A New Decomposition Solver for Complex Electromagnetic Problems[J]. IEEE Antennas & Propagation Magazine, 2017, 59(3): 131–140 doi: 10.1109/MAP.2017.2687119
    CHEN Yan, ZHANG Yu, ZHANG Guanghui, et al. Hybrid MIC/CPU parallel implementation of MoM on MIC cluster for electromagnetic problems[J]. IEICE Transactions on Electronics, 2016, 99(7): 735–743 doi: 10.1587/transele.E99.C.735
    CHEN Yan, ZHANG Guanghui, LIN Zhongchao, et al. Solution of EM problems using hybrid parallel MIC/CPU implementation of higher-order MoM[C]. IEEE International Symposium on Microwave, Antenna, Propagation, and Emc Technologies. Shanghai, China, 2016: 789–791.
    左胜, 陈岩, 张玉, 等. 一种可扩展异构并行核外高阶矩量法[J]. 西安电子科技大学学报, 2017, 44(1): 146–151 doi: 10.3969/j.issn.1001-2400.2017.01.026

    ZUO Sheng, CHEN Yan, ZHANG Yu, et al. Study of the scalable heterogeneous parallel out-of-core higher order method of moments[J]. Journal of Xidian University, 2017, 44(1): 146–151 doi: 10.3969/j.issn.1001-2400.2017.01.026
    CHEN Yan, ZUO Sheng, ZHANG Yu, et al. Large-scale parallel method of moments on CPU/MIC heterogeneous clusters[J]. IEEE Transactions on Antennas & Propagation, 2017, 65(7): 3782–3787 doi: 10.1109/TAP.2017.2700871
    TANG Min, ZHAO Jieyi, TONG Ruofeng, et al. GPU accelerated convex hull computation[J]. Computers & Graphics, 2012, 36(5): 498–506 doi: 10.1016/j.cag.2012.03.015
    陈岩. 高性能矩量法及其在复杂目标电磁模拟中的应用[D]. [博士论文], 西安电子科技大学, 2017: 86–91.

    Chen Yan. High performance method of moments and its application in electromagnetic simulation of complex targets[D]. [Ph.D. dissertation], Xidian University, 2017: 86–91.
    ZHANG Yu, CHEN Yan, ZHANG Guanghui, et al. A highly efficient communication avoiding LU algorithm for Methods of Moments[C]. IEEE International Symposium on Antennas and Propagation & Usnc/ursi National Radio Science Meeting, Vancouver, Canada, 2015: 1672–1673.
    Intel® Developer Zone: Intel® Math Kernel Library [OL]. https://software.intel.com/en-us/forums/intel-math-kernel-library/, 2018.
    徐晓飞, 曹祥玉, 高军, 等. 基于矩量法的电大目标RCS核外并行计算[J]. 电子与信息学报, 2011, 33(3): 758–762 doi: 10.3724/SP.J.1146.2010.00519

    XU Xiaofei, CAO Xiangyu, GAO Jun, et al. Parallel out-of-core calculation of electrically large objects’ RCS based on MoM[J]. Journal of Electronics &Information Technology, 2011, 33(3): 758–762 doi: 10.3724/SP.J.1146.2010.00519
    马骥, 龚书喜, 王兴, 等. 一种快速计算目标宽带雷达截面的电磁算法[J]. 西安电子科技大学学报, 2012, 39(4): 98–102 doi: 10.3969/j.issn.1001-2400.2012.04.018

    MA Ji, GONG Shuxi, WANG Xing, et al. Fast computation of the wide-band radar cross section of arbitrary objects[J]. Journal of Xidian University, 2012, 39(4): 98–102 doi: 10.3969/j.issn.1001-2400.2012.04.018
    国家超级计算广州中心: 产品中心[OL]. http://www.nscc-gz.cn/Product/HighPerformanceComputingService/ServiceCharacteristics.html, 2018.6.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(5)  / Tables(2)

    Article Metrics

    Article views (1937) PDF downloads(63) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return