Accelerating finite difference wavefield-continuation depth migration by GPU

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Accelerating finite difference wavefield-continuation depth migration by GPU水利论文8k;h4UF(p

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v!g_K ZAvT0Abstract:水利论文NyS.j/jBP

QEM6hO%j2{0The most popular hardware used for parallel depth migration is the PC-Cluster but its application is limited due to large space occupation and high power consumption.In this paper,we introduce a new hardware architecture,based on which the finite difference (FD) wavefield-continuation depth migration can be conducted using the Graphics Processing Unit (GPU) as a CPU coprocessor.We demonstrate the program module and three key optimization steps for implementing FD depth migration:memory,thread structure,and instruction optimizations and consider evaluation methods for the amount of optimization.2D and 3D models are used to test depth migration on the GPU.The tested results show that the depth migration computational efficiency greatly increased using the general-purpose GPU,increasing by at least 25 times compared to the AMD 2.5 GHz CPU.

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Author:水利论文.n3G ]z1a

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Liu Guo-Feng[1]水利论文k]-r2xoz

Un#C(m7~ z mTC:d0Meng Xiao-Hong[1]

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Liu Hong[2]水利论文*g*|2{1kq x

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Key Laboratory of Geo-detection(China University of Geosciences, Beijing), Ministry of Education, Beijing 100083, China

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pU;z Eu0Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China

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Applied Geophysics水利论文3}0]/bu1c1Q OV x

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w7L2y$k$O0Keywords:

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GY!E3m!c^t:C;_0Wavefield-continuation depth migration

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finite difference水利论文 { f.@+nyV

DFg`5y$HE0Graphic Processing Unit

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h%n ?Ra:[/q'jFV5W02012年5月25日水利论文&abY!k'n1M.Zl

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Accelerating finite difference wavefield-continuation depth migration by GPU

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&tS{ |,?^:z;p0[期刊论文] 应用地球物理(英文版)水利论文Mp4kC`Jkz

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--2012, 09(1)水利论文L6U2Y0pc7S9}{~ V

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The most popular hardware used for parallel depth migration is the PC-Cluster but its application is limited due to large space occupation and high power consumption.In this paper,we introduce a new ha...

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