Coherence parallel algorithm of seismic data processing based on CUDA
LI Ken-li · Journal of Computer Applications · 2009
In seismic exploration interpretation,the application of coherent technology can clearly identify faults and stratigraphy,but the traditional calculation method cannot meet the need of the coherence body calculation from 3D seismic data.Based on CUDA(Compute Unified Device Architecture) platform,a coherence parallel algorithm was proposed.It could accelerate the speed of matrix multiplication with the performance of GPU cluster.Extensive experiments have been conducted in a PC with Intel Core2Due CPU and NVIDIA GeForce 8800 GT graphic card,and the results prove the efficiency of the proposed algorithm.Even though the actual speed-ups in production codes will vary with the particular problem,the results obtained here indicate that GPU can potentially be a very useful platform for processing large-scale seismic data.