@inproceedings{3015e276589f4ed4ae6720ebd3cce5eb,
title = "A parallel algorithm of kirchhoff pre-stack depth migration based on GPU",
abstract = "Kirchhoff pre-stack depth migration (KPSDM) algorithm, as one of the most widely used migration algorithms, plays an important part in getting the real image of the earth. However, this program takes considerable time due to its high computational cost; hence the working efficiency of the oil industry is affected. The general purpose Graphic Processing Unit (GPU) and the Compute Unified Device Architecture (CUDA) developed by NVIDIA have provided a new solution to this problem. In this study, we have proposed a parallel algorithm of the Kirchhoff pre-stack depth migration and an optimization strategy based on the CUDA technology. Our experiments indicate that for large data computations, the accelerated algorithm achieves a speedup of 8\textasciitilde{}15 times compared with NVIDIA GPU.",
keywords = "CUDA, GPU, Kirchhoff pre-stack depth migration, optimization, parallel algorithm",
author = "Yida Wang and Chao Li and Yang Tian and Haihua Yan and Changhai Zhao and Jianlei Zhang",
year = "2014",
doi = "10.1007/978-3-319-11194-0\_16",
language = "英语",
isbn = "9783319111933",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 2",
pages = "207--218",
booktitle = "Algorithms and Architectures for Parallel Processing - 14th International Conference, ICA3PP 2014, Proceedings",
address = "德国",
edition = "PART 2",
note = "14th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2014 ; Conference date: 24-08-2014 Through 27-08-2014",
}