DocumentCode
658977
Title
Efficient aerial image simulation on multi-core SIMD CPU
Author
Pei-Ci Wu ; Tan Yan ; Hongbo Zhang ; Wong, Martin D. F.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear
2013
fDate
18-21 Nov. 2013
Firstpage
24
Lastpage
31
Abstract
Aerial image simulation is a fundamental problem in advanced lithography for chip fabrication. Since it requires a huge number of mathematical computations, an efficient yet accurate implementation becomes a necessity. In the literature, GPU or FPGA has demonstrated its potential for accelerating aerial image simulation. However, the comparisons of GPU or FPGA to CPU were not done thoroughly. In particular, careful tunings for the CPU-based method were missing in the previous works, while the recent CPU architectures have significant modifications toward high performance computing capabilities. In this paper, we present and discuss several algorithms for the aerial image simulation on multi-core SIMD CPU. Our fastest method achieves up to 73X speedup over the baseline serial approach and outperforms the state-of-the-art GPU-based approach by up to 2X speedup on a single hex-core SIMD CPU. We show that the performance on the multi-core SIMD CPU is promising, and that careful CPU tunings are necessary in order to exploit its computing capabilities.
Keywords
digital simulation; graphics processing units; multiprocessing systems; CPU-based method; FPGA; advanced lithography; aerial image simulation; baseline serial approach; chip fabrication; mathematical computations; multicore SIMD CPU; single hex-core SIMD CPU; Computational modeling; Convolution; Instruction sets; Kernel; Programming; Registers; Tuning;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Aided Design (ICCAD), 2013 IEEE/ACM International Conference on
Conference_Location
San Jose, CA
ISSN
1092-3152
Type
conf
DOI
10.1109/ICCAD.2013.6691093
Filename
6691093
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