GPU/CPU co-processing parallel computation for seismic data processing in oil and gas exploration
油气勘探地震资料处理GPU/CPU协同并行计算

With the development of Graphic Processing Unit (GPU) in general colculations,it makes the GPU/CPU co-processing parallel computing used in seismic data processing of oil and gas exploration and get the great improvement in some important steps. In this paper ,we introduce the idea ,architecture and coding environment for GPU and CPU co-processing with CUDA.At the same time ,we pay more attention to point out why this method can greatly improve the efficiency. We use the pre-stack time migration and Gazdag depth migration in seismic data processing as the start point of this paper, and the figures can tell us the result of these tests. Obviously ,we often face the situation that we must abandon some good method because of some problems about computing speed, but with the GPU we will have more choices. The result sticks out a mile that the samples in this paper have more advantages than the common PC-Cluster ,the new architecture of making parallel computer on the desk expressed in this paper may be one of another choice for high performance computing in the field of geophysics.