Coarse-Grained 2.5-D CSAMT Parallel Inversion Method Based on Multi-core CPU

被引：0
|
作者：
He, Lili [1 ]
Bai, Hongtao [2 ]
Wang, Jin [3 ]
Jiang, Yu [1 ]
Li, Tonglin [4 ]
机构：
[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China
[2] Jilin Univ, Ctr Comp Fundamental Educ, Changchun 130012, Peoples R China
[3] Yangzhou Univ, Informat Engn Coll, Yangzhou 225009, Jiangsu, Peoples R China
[4] Jilin Univ, Coll Earth Survey Sci & Technol, Changchun 130026, Peoples R China
来源：
ADVANCES IN COMPUTER SCIENCE AND UBIQUITOUS COMPUTING | 2017年 / 421卷
基金：
中国国家自然科学基金;
关键词：
2.5-D inversion; EM field decomposition; OpenMP; Coarse-grained parallelization;
D O I：
10.1007/978-981-10-3023-9_70
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a 2.5-D controlled source audio-frequency magnetotelluric (CSAMT) reversed parallel method based on multi-core CPU is achieved, aiming to the low efficiency of the large-scale computation in geophysical exploration. This parallel algorithm allocates the different waves to each thread of cores under the coarse-gained mode. The master thread deal with all parallel tasks and other slave threads compute the electromagnetic field values of each wave in parallel Fork-join model. The experiments demonstrate that our parallel algorithm can not only acquire the effective data accuracy, but also obtain about three times than the serial version.
引用
收藏
页码：449 / 455
页数：7
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    Zhu, Junjie
    Jiang, Jingfei
    Luo, Xiaocheng
    Dou, Yong
    [J]. PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTING TECHNOLOGY (ICMMCT 2017), 2017, 126 : 1158 - 1162
  • [2] Multi-core CPU Based Parallel Cube Algorithms
    Zhou, Guoliang
    Zhang, Han
    [J]. ADVANCED RESEARCH ON COMPUTER SCIENCE AND INFORMATION ENGINEERING, 2011, 153 : 48 - 53
  • [3] Mixed-Critical Systems Design with Coarse-Grained Multi-core Interference
    Poplavko, Peter
    Kahil, Rany
    Socci, Dario
    Bensalem, Saddek
    Bozga, Marius
    [J]. LEVERAGING APPLICATIONS OF FORMAL METHODS, VERIFICATION AND VALIDATION: FOUNDATIONAL TECHNIQUES, PT I, 2016, 9952 : 605 - 621
  • [4] Research on Parallel Propagation Mode of Table Constraint Based on Multi-core CPU
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    Li Z.
    Li Z.-S.
    [J]. Ruan Jian Xue Bao/Journal of Software, 2021, 32 (09): : 2769 - 2782
  • [5] Inter-coarse-grained reconfigurable architecture reconfiguration technique for efficient pipelining of kernel-stream on coarse-grained reconfigurable architecture-based multi-core architecture
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    Joo, Hyejin
    Yoon, Sohyun
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  • [6] A parallel algorithm of transient simulation for distributed generation system based on multi-core CPU
    Li, Peng
    Ding, Chengdi
    Wang, Chengshan
    Gao, Fei
    Yu, Hao
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    [J]. Li, P. (lip@tju.edu.cn), 1600, Chinese Society for Electrical Engineering (33): : 171 - 178
  • [7] A Fast Parallel GPS Acquisition Algorithm Based on Hybrid GPU and Multi-core CPU
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  • [9] Parallel Frame Buffer Device: Graphics Acceleration Based on Multi-core CPU for Xorg
    Gao L.
    Dai H.-D.
    Yang S.-Z.
    Ding Y.
    [J]. Ruan Jian Xue Bao/Journal of Software, 2020, 31 (10): : 3309 - 3320
  • [10] A coarse-grained parallel approach for seismic damage simulations of urban areas based on refined models and GPU/CPU cooperative computing
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    Han, Bo
    Hori, Muneo
    Xiong, Chen
    Xu, Zhen
    [J]. ADVANCES IN ENGINEERING SOFTWARE, 2014, 70 : 90 - 103
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