DocumentCode :
2679504
Title :
Accelerating aerial image simulation with GPU
Author :
Zhang, Hongbo ; Yan, Tan ; Wong, Martin D F ; Patel, Sanjay J.
Author_Institution :
Dept. of ECE, Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear :
2011
fDate :
7-10 Nov. 2011
Firstpage :
178
Lastpage :
184
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.
Keywords :
VLSI; electronic engineering computing; graphics processing units; image processing; integrated circuit design; lithography; CPU based serial algorithm; VLSI design; aerial image simulation; general purpose GPU computing; lithography technology; numerical computation; semiconductor device shrinking size; Computational modeling; Convolution; Graphics processing unit; Instruction sets; Kernel; Programming; Tiles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Aided Design (ICCAD), 2011 IEEE/ACM International Conference on
Conference_Location :
San Jose, CA
ISSN :
1092-3152
Print_ISBN :
978-1-4577-1399-6
Electronic_ISBN :
1092-3152
Type :
conf
DOI :
10.1109/ICCAD.2011.6105323
Filename :
6105323
Link To Document :
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