详细信息   

• 责任者：Long Guihua (Shenzhen Institutes of Advanced Technology ; Chinese Academy of Sciences ; Shenzhen 518055 ; China) ; Li Xiaofan
• 刊名：Chinese Journal of Geophysics
• 出版年：2010
• 卷期：53(12)
• 关键词：弹性波 ; elastic waves ; 波动方程 ; wave equation
• 页码：p.2964-2971
• 图表：3 illus., 1 table, 27 refs.
• 分类号：1600
• issnNo：ISSN0001-5733
• isbnNo：CN11-2074/P

摘要

As a crucial part of high-resolution waveform inversion and reverse time migration, seismic modeling demands a high efficiency of computation. The general-purpose GPU computing technology provides a fundamental basis as  GPU was naturally designed with data parallelism. By virtue of staggered-grid Fourier pseudo-spectral differentiation matrix operator, solving wave equation can be easily implemented on GPU by matrix multiplication. In large-scale two-dimensional wavefield computation, optimized single GPU forward seismic modeling can achieve at least 100x faster than that of single CPU using only one core. The high speedup of GPU/CPU implementation enables to quickly recognize seismic events of the reflectors of different layers in common shot profile, which is helpful for optimizing the acquisition configuration in field work.