Accelerating aerial image simulation with GPU

Hongbo Zhang; Tan Yan; Martin D F Wong; Sanjay Jeram Patel

doi:10.1109/ICCAD.2011.6105323

Accelerating aerial image simulation with GPU

Hongbo Zhang, Tan Yan, Martin D F Wong, Sanjay Jeram Patel

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

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 (US)
Title of host publication	2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011
Pages	178-184
Number of pages	7
DOIs	https://doi.org/10.1109/ICCAD.2011.6105323
State	Published - 2011
Event	2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011 - San Jose, CA, United States Duration: Nov 7 2011 → Nov 10 2011

Other

Other	2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011
Country/Territory	United States
City	San Jose, CA
Period	11/7/11 → 11/10/11

ASJC Scopus subject areas

Software
Computer Science Applications
Computer Graphics and Computer-Aided Design

Online availability

10.1109/ICCAD.2011.6105323

Library availability

Discover UIUC Full Text

Cite this

@inproceedings{00f4992951124d19b8fc46928c34c5b0,

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 Jeram}",

year = "2011",

doi = "10.1109/ICCAD.2011.6105323",

language = "English (US)",

isbn = "9781457713989",

pages = "178--184",

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

note = "2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011 ; Conference date: 07-11-2011 Through 10-11-2011",

}

TY - GEN

T1 - Accelerating aerial image simulation with GPU

AU - Zhang, Hongbo

AU - Yan, Tan

AU - Wong, Martin D F

AU - Patel, Sanjay Jeram

PY - 2011

Y1 - 2011

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

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

U2 - 10.1109/ICCAD.2011.6105323

DO - 10.1109/ICCAD.2011.6105323

M3 - Conference contribution

AN - SCOPUS:84862912261

SN - 9781457713989

SP - 178

EP - 184

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

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

Y2 - 7 November 2011 through 10 November 2011

ER -

Accelerating aerial image simulation with GPU

Abstract

Other

ASJC Scopus subject areas

Online availability

Library availability

Related links

Fingerprint

Cite this