In view of the problems and challenges in pre-stack reverse-time depth migration (RTM) for mass seismic data,the paper focuses on introducing GPU-RDMA and GPU-Stream,which are used to solve the large calculation cost and the mass memory demand of RTM on the CPU/GPU heterogeneous platform,and develops the RTM suitable for large-scale distributed parallel computing in GPU clusters.This technology can be used to deal with the high density seismic data,and the results of actual seismic data application show that the computing efficiency is up to 15~40 times.
张慧宇, 王立歆, 孔祥宁, 李博. 适于大规模数据的逆时偏移实现方案[J]. 物探与化探, 2015, 39(5): 978-984.
ZHANG Hui-Yu, WANG Li-Xin, KONG Xiang-Ning, LI Bo. The implementation scheme of reverse-time migration for mass seismic data. Geophysical and Geochemical Exploration, 2015, 39(5): 978-984.
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