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Multi-stream Parallel Optimizing for GPU Implementation of Reverse Time MigrationNormal access

Authors: Q. Xue, Y. Wang and X. Chang
Event name: 77th EAGE Conference and Exhibition 2015
Session: HPC - Methods on Manycore Architectures
Publication date: 01 June 2015
DOI: 10.3997/2214-4609.201413105
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 3.98Mb )
Price: € 20

Reverse time migration (RTM) based on the full wave equation discretization are tools of major importance because they give an accurate representation of complex wave propagation areas. However, these applications impose high computational requirements, thus efficient parallelization of the RTM algorithm is crucial. In this paper, we present a multi-stream optimizing approach for the RTM algorithm on the latest Kepler architecture GPU. Our approach take full advantage of the Hyper-Q new feature of the Kepler architecture GPU so that multiple streams generated from a quantity of OpenMP threads operating on the CPU multicore processor can be rapidly running on massive fine-grain GPU processing cores. Experimental results show that our approach 17% performance improvement to the single stream implementation on Nvidia Tesla K40 GPU.

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