Practical pre-stack Kirchhoff time migration of seismic processing on general purpose GPU

Xiaohua Shi; Xu Wang; Changhai Zhao; Haiyan Yang

doi:10.1109/CSIE.2009.78

Practical pre-stack Kirchhoff time migration of seismic processing on general purpose GPU

Xiaohua Shi^*
, Xu Wang
, Changhai Zhao
, Haiyan Yang

^*Corresponding author for this work

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

In this paper, we introduced three prototypes of GPGPU solutions on NVidia GeForce8800GT for a practical Pre-stack Kirchhoff Time Migration program. We presented how to re-design and reimplement the original CPU code to efficiency GPU code. The prototypes are more than at most 7.2 times faster than its CPU version on Intel's P4 3.0G.

Original language	English
Title of host publication	2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Pages	461-465
Number of pages	5
DOIs	https://doi.org/10.1109/CSIE.2009.78
State	Published - 2009
Event	2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 - Los Angeles, CA, United States Duration: 31 Mar 2009 → 2 Apr 2009

Publication series

Name	2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Volume	2

Conference

Conference	2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Country/Territory	United States
City	Los Angeles, CA
Period	31/03/09 → 2/04/09

Access to Document

10.1109/CSIE.2009.78

Cite this

Shi, X., Wang, X., Zhao, C., & Yang, H. (2009). Practical pre-stack Kirchhoff time migration of seismic processing on general purpose GPU. In 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 (pp. 461-465). Article 5171381 (2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009; Vol. 2). https://doi.org/10.1109/CSIE.2009.78

@inproceedings{22c910528bcc486fa3e3e5056183213b,

title = "Practical pre-stack Kirchhoff time migration of seismic processing on general purpose GPU",

abstract = "In this paper, we introduced three prototypes of GPGPU solutions on NVidia GeForce8800GT for a practical Pre-stack Kirchhoff Time Migration program. We presented how to re-design and reimplement the original CPU code to efficiency GPU code. The prototypes are more than at most 7.2 times faster than its CPU version on Intel's P4 3.0G.",

author = "Xiaohua Shi and Xu Wang and Changhai Zhao and Haiyan Yang",

year = "2009",

doi = "10.1109/CSIE.2009.78",

language = "英语",

isbn = "9780769535074",

series = "2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009",

pages = "461--465",

booktitle = "2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009",

note = "2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 ; Conference date: 31-03-2009 Through 02-04-2009",

}

Shi, X, Wang, X, Zhao, C & Yang, H 2009, Practical pre-stack Kirchhoff time migration of seismic processing on general purpose GPU. in 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009., 5171381, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, vol. 2, pp. 461-465, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, Los Angeles, CA, United States, 31/03/09. https://doi.org/10.1109/CSIE.2009.78

Practical pre-stack Kirchhoff time migration of seismic processing on general purpose GPU. / Shi, Xiaohua; Wang, Xu; Zhao, Changhai et al.
2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009. 2009. p. 461-465 5171381 (2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this paper, we introduced three prototypes of GPGPU solutions on NVidia GeForce8800GT for a practical Pre-stack Kirchhoff Time Migration program. We presented how to re-design and reimplement the original CPU code to efficiency GPU code. The prototypes are more than at most 7.2 times faster than its CPU version on Intel's P4 3.0G.

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Practical pre-stack Kirchhoff time migration of seismic processing on general purpose GPU

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