Abstract:

An efficient technique which is now being implemented in photographing images of complicated rock stratum is the seismic wave PKTM algorithm. With the earthquake prediction coming into massive data generation, it is of essential importance to optimize this algorithm by parallel computation. In recent years, high performance parallel computation is characterized by heterogeneous and many cores systems.A typical example of this kind of processors, featured with low cost and high performance is Xeon Phi, being known as MIC. On the basis of the classic PKTM algorithm, we parallelize and optimize the PKTM algorithm in the offload programming model, based on CPU+MIC heterogeneous platform. For applications with the scale of 64 000 000(8 000×8 000),the total parallel simulation time is reduced from 357.52 seconds to 1.66 seconds, achieving 214.37x performance improvement.

Key words: collaborative parallel;Intel Xeon Phi;heterogeneous parallel;Kirchhoff Time Migration；performance optimization