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《应用地球物理(英文版)》 2012-01
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Accelerating f inite difference wavef ield-continuation depth migration by GPU

Liu Guo-Feng1, Meng Xiao-Hong1, and Liu Hong21. Key Laboratory of Geo-detection (China University of Geosciences, Beijing), Ministry of Education, Beijing 100083, China. 2. Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China.  
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 hardware architecture, based on which the fi nite 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.
【Fund】: supported by the National Natural Science Foundation of China (Nos. 41104083 and 40804024);; Fundamental Research Funds for the Central Universities (No 2011YYL022)
【CateGory Index】: P631.44
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【Citations】
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【Co-citations】
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