摘要
走时计算是叠前时间偏移计算中最耗时的部分,通过分析传统的串行走时算法,发现静态8点插值算法非常适合在GPU上运行。首先利用CUDA技术对静态8点插值算法进行并行化改造,设计静态8点并行插值算法,然后测试其正确性,统计其相对误差情况。实验表明此算法比工业生产上的动态插值算法更准确,最后我们利用体偏作性能测试。试验结果表明,运行在GPU上的静态8点并行插值算法内核性能是运行在CPU上的动态插值算法内核的22.76倍。这说明,静态8点并行插值算法适合进行走时计算,并且可以应用于工业生产上。
The computation of traveling time of Pre-Stack Time Migration （PSTM） is the most time-consuming part of whole procedure. In this paper, we present a novel parallel algorithm to low the time of traveling-time computation. By using static interpolation with step of 8 points instead of dynamic step length, the new designed algorithm performs more accuracy and performance. Experimental results show that the speed-up number reaches 22.76 times. The statistical relative error demonstrates the better accuracy comparing with the commercial codebases.
出处
《计算机系统应用》
2011年第8期42-46,共5页
Computer Systems & Applications
