GPU架构下基于经验模态分解的地震瞬时属性并行提取算法的研究

计算机科学 ›› 2013, Vol. 40 ›› Issue (Z11): 409-411.

GPU架构下基于经验模态分解的地震瞬时属性并行提取算法的研究

曹晓初,金弟,王宗仁,王启迪

杭州地质研究院杭州310023;杭州地质研究院杭州310023;杭州地质研究院杭州310023;杭州地质研究院杭州310023

出版日期:2018-11-16 发布日期:2018-11-16

Research on the Seismic Instantaneous Attributes of Empirical Mode Decomposition Parallel Extraction Algorithm Based on GPU

CAO Xiao-chu,JIN Di,WANG Zong-ren and WANG Qi-di

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 从地震勘探资料中提取地震瞬时属性具有十分重要的意义,而基于信号局部特征的经验模态分解为非线性非稳定信号提供了一种全新的瞬时属性提取方法。对经验模态分解算法在GPU架构上的并行处理实现进行了分析和研究。通过实验对比测试表明,GPU架构下的算法运行效率较CPU具有明显优势。在测试数据中,GPU加速比最高达到了8.66倍。

关键词: 经验模态分解,瞬时属性,本征模函数,并行处理,GPU

Abstract: It is significant that instantaneous attributes have been extracted from seismic data．Empirical mode decomposition based on the local characteristics provides a new analysis method suitable for nonlinear and non-stationary signals．EMD parallel algorithm has been analyzed and researched on GPU．Computation efficiency in GPU has substaintial advantage of that in CPU by comparative experiment,and speedup of GPU is up to 8.66compared to CPU among the test data in this article.

Key words: Empirical mode decomposition,Instantaneous attribute,Intrinsic mode function,Parallel process,GPU

曹晓初,金弟,王宗仁,王启迪. GPU架构下基于经验模态分解的地震瞬时属性并行提取算法的研究[J]. 计算机科学, 2013, 40(Z11): 409-411. https://doi.org/

CAO Xiao-chu,JIN Di,WANG Zong-ren and WANG Qi-di. Research on the Seismic Instantaneous Attributes of Empirical Mode Decomposition Parallel Extraction Algorithm Based on GPU[J]. Computer Science, 2013, 40(Z11): 409-411. https://doi.org/

参考文献

[1] 皮红梅,刘财,王典．利用Hilbert-Huang变换提取地震信号瞬时参数[J]．石油地球物理勘探,2007,42(4)
[2] Xie K,Wu P,Yang S．GPU and CPU cooperation parallel visua-lisation for large seismic data[J]．Electronics Letters,2010(17)
[3] Waskito P,Miwa S,Mitsukura Y,et al．Parallelizing Hilbert-Huang transform on a GPU[J]．Networking and Computing (ICNC),2010
[4] Yu Wen-mao,Xie Kai,Yu Huo-quan,et al．Hilbert-HuangTransformation of Large Seismic Data Based on GPU[C]∥Intelligence Science and Information Engineering (ISIE)．2011
[5] NVIDIA官方网站．http://www.nvidia.cn/object/product_tesla_C2050_C2070_cn.html
[6] 韩俊刚,刘有耀,张晓．图形处理器的历史现状和发展趋势[J]．西安邮电学院学报,2011,16(3)
[7] Huang N E．The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-stationary Time Series Analysis[J].J.Proc.R.Soc.Lond.A,1998,4:903-995
[8] 万剑怡,孙永强,薜锦云,一种基于设计模式的三阶段并行程序设计方法[J]．计算机研究与发展,2002,39(3)
[9] Huang N E,Wu Z.A review on Hilbert-Huang transform:method and its applications to geophysical studies[J].Reviews of Geophysics,2008,6(2)
[10] Flandrin P,Rilling G,Goncalvés P．Empirical mode decomposition as a filterbank[J]．IEEE SIGNAL Proc Lett.,2004,1:112-114
[11] Nvidia Corporation．NVIDIA CUDA C Programming GuideVersion 4.2[Z]．2012
[12] 刘慧婷,程家兴,张旻．利用Hilbert变换提取信号瞬时特征的算法实现[J]．微机发展,2003,13(6)

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed