Accelerating aerial image simulation with GPU

Hongbo Zhang; Tan Yan; Martin D. F. Wong; Sanjay J. Patel

doi:10.1109/ICCAD.2011.6105323

Accelerating aerial image simulation with GPU

Hongbo Zhang, Tan Yan, Martin D. F. Wong, Sanjay J. Patel

Office of the Provost

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

3 Citations (Scopus)

Abstract

Aerial image simulation is a fundamental problem for modern VLSI design. It requires a huge amount of numerical computation. The recent advancement of general purpose GPU computing provides an excellent opportunity to parallelize the aerial image simulation and achieve great speedup. In this paper, we present and discuss two GPU-based aerial image simulation algorithms. We show through experiments that the fastest algorithm we propose can achieve 50X to 60X speedup over the CPU based serial algorithm. The error of our approach is shown to be insignificant.

Original language	English
Title of host publication	IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011
Publisher	IEEE
Pages	178-184
Number of pages	7
ISBN (Electronic)	9781457714009, 9781457713989
ISBN (Print)	9781457713989
DOIs	https://doi.org/10.1109/ICCAD.2011.6105323
Publication status	Published - 7 Nov 2011
Event	2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011 - DoubleTree Hotel, San Jose, United States Duration: 7 Nov 2011 → 9 Nov 2011 https://ieeexplore.ieee.org/xpl/conhome/6095474/proceeding (Conference proceedings)

Publication series

Name	Proceedings of IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
ISSN (Print)	1092-3152
ISSN (Electronic)	1558-2434

Competition

Competition	2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011
Country/Territory	United States
City	San Jose
Period	7/11/11 → 9/11/11
Internet address	https://ieeexplore.ieee.org/xpl/conhome/6095474/proceeding (Conference proceedings)

Scopus Subject Areas

Software
Computer Science Applications
Computer Graphics and Computer-Aided Design

Access to Document

10.1109/ICCAD.2011.6105323

Cite this

@inproceedings{3c0d051f870b4523a9b8fe19b3d2c7c0,

title = "Accelerating aerial image simulation with GPU",

abstract = "Aerial image simulation is a fundamental problem for modern VLSI design. It requires a huge amount of numerical computation. The recent advancement of general purpose GPU computing provides an excellent opportunity to parallelize the aerial image simulation and achieve great speedup. In this paper, we present and discuss two GPU-based aerial image simulation algorithms. We show through experiments that the fastest algorithm we propose can achieve 50X to 60X speedup over the CPU based serial algorithm. The error of our approach is shown to be insignificant.",

author = "Hongbo Zhang and Tan Yan and Wong, {Martin D. F.} and Patel, {Sanjay J.}",

note = "Funding Information: This work was partially supported by the National Science Foundation under grant CCF-1017516 and a grant from the Semiconductor Research Corporation (SRC). Publisher Copyright: {\textcopyright} 2011, IEEE; 2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011 ; Conference date: 07-11-2011 Through 09-11-2011",

year = "2011",

month = nov,

day = "7",

doi = "10.1109/ICCAD.2011.6105323",

language = "English",

isbn = "9781457713989",

series = "Proceedings of IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD",

publisher = "IEEE",

pages = "178--184",

booktitle = "IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011",

address = "United States",

url = "https://ieeexplore.ieee.org/xpl/conhome/6095474/proceeding",

}

Zhang, H, Yan, T, Wong, MDF & Patel, SJ 2011, Accelerating aerial image simulation with GPU. in IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011. Proceedings of IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, IEEE, pp. 178-184, 2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011, San Jose, California, United States, 7/11/11. https://doi.org/10.1109/ICCAD.2011.6105323

Accelerating aerial image simulation with GPU. / Zhang, Hongbo; Yan, Tan; Wong, Martin D. F. et al.
IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011. IEEE, 2011. p. 178-184 (Proceedings of IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Accelerating aerial image simulation with GPU

AU - Zhang, Hongbo

AU - Yan, Tan

AU - Wong, Martin D. F.

AU - Patel, Sanjay J.

N1 - Funding Information: This work was partially supported by the National Science Foundation under grant CCF-1017516 and a grant from the Semiconductor Research Corporation (SRC). Publisher Copyright: © 2011, IEEE

PY - 2011/11/7

Y1 - 2011/11/7

N2 - Aerial image simulation is a fundamental problem for modern VLSI design. It requires a huge amount of numerical computation. The recent advancement of general purpose GPU computing provides an excellent opportunity to parallelize the aerial image simulation and achieve great speedup. In this paper, we present and discuss two GPU-based aerial image simulation algorithms. We show through experiments that the fastest algorithm we propose can achieve 50X to 60X speedup over the CPU based serial algorithm. The error of our approach is shown to be insignificant.

AB - Aerial image simulation is a fundamental problem for modern VLSI design. It requires a huge amount of numerical computation. The recent advancement of general purpose GPU computing provides an excellent opportunity to parallelize the aerial image simulation and achieve great speedup. In this paper, we present and discuss two GPU-based aerial image simulation algorithms. We show through experiments that the fastest algorithm we propose can achieve 50X to 60X speedup over the CPU based serial algorithm. The error of our approach is shown to be insignificant.

UR - http://www.scopus.com/inward/record.url?scp=84862912261&partnerID=8YFLogxK

U2 - 10.1109/ICCAD.2011.6105323

DO - 10.1109/ICCAD.2011.6105323

M3 - Conference proceeding

AN - SCOPUS:84862912261

SN - 9781457713989

T3 - Proceedings of IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD

SP - 178

EP - 184

BT - IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011

PB - IEEE

T2 - 2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011

Y2 - 7 November 2011 through 9 November 2011

ER -

Accelerating aerial image simulation with GPU

Abstract

Publication series

Competition

Scopus Subject Areas

Access to Document

Other files and links

Fingerprint

Cite this