Abstract:

Wave equation prestack depth migration is a high-precision seismic imaging method,suitable for complex media with sharp lateral velocity variation,however,its huge computation hinders its application.Xeon Phi is a new product for throughput computing which provides a better choice for these methods.Taking the Split Step Fourier algorithm for example, we introduce the code migration and performance optimization on Xeon Phi platform.We offload the kernel which is fully threaded to Xeon Phi by predefined compiler pragmas so as to take full advantage of SIMD engine to improve the efficiency of the parallelization processing; and we change the code structure to ensure the vectorization.Besides,by extending the parallel processing framework with the dynamic workloadbalance mechanism,we develop a seismic imaging system based on Xeon Phi platform which is suitable for largescale,full hybrid heterogeneous clusters.Finally, we conduct a real workload test and the results show that Xeon Phi platform can significantly improve the seismic imaging efficiency,and has good core scalability.

Key words: Xeon Phi platform;wave equation prestack depth migration;split step Fourier algorithm;parallel processing framework;offload pattern