Accelerating aerial image simulation with GPU

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publication2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011
Pages178-184
Number of pages7
DOIs
StatePublished - 2011
Event2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011 - San Jose, CA, United States
Duration: Nov 7 2011Nov 10 2011

Other

Other2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011
CountryUnited States
CitySan Jose, CA
Period11/7/1111/10/11

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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  • Cite this

    Zhang, H., Yan, T., Wong, M. D. F., & Patel, S. J. (2011). Accelerating aerial image simulation with GPU. In 2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011 (pp. 178-184). [6105323] https://doi.org/10.1109/ICCAD.2011.6105323