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SSTT: Efficient local search for GSI global routing

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Abstract

In this paper, a novel global routing algorithm is presented for congestion optimization based on efficient local search, named SSTT (search space traversing technology). This method manages to traverse the whole search space. A hybrid optimization strategy is adopted, consisting of three optimization sub-strategies: stochastic optimization, deterministic optimization and local enumeration optimization, to dynamically reconstruct the problem structure. Thus, “transition” can be made from a local minimum point to reach other parts of the search space, traverse the whole search space, and obtain the global (approximate) optimal routing solution. Since any arbitrary initial routing solution can be used as the start point of the search, the initialization in SSTT algorithm is greatly simplified. SSTT algorithm has been tested on both MCNC benchmark circuits and industrial circuits, and the experimental results were compared with those of typical existing algorithms. The experimental results show that SSTT algorithm can obtain the global (approximate) optimal routing solution easily and quickly. Moreover, it can meet the needs of practical applications. The SSTT global routing algorithm gives a general-purpose routing solution.

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Authors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, 100084, Beijing, P.R. China

    Jing Tong, Hong XianLong, Bao HaiYun & Xu JingYu

  2. Department of Computer Science, Hong Kong University of Science and Technology, Hong Kong, P.R. China

    Gu Jun

Authors
  1. Jing Tong
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  2. Hong XianLong
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  3. Bao HaiYun
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  4. Xu JingYu
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  5. Gu Jun
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Corresponding author

Correspondence to Jing Tong.

Additional information

This work was supported partly by the National Hi-Tech Research and Development 863 Program of China under Grant No.2002AA1Z1460, Key Faculty Support Program of Tsinghua University under Grant No.[2002] 4, NSFC under Grant No.60121120706, and NSF of USA under Grant No.CCR-0096383.

JING Tong was born in 1966. He received the B.S. degree in electronic engineering, the M.S. and Ph.D. degrees in computer science and engineering from Northwestern Polytechnical University (NPU) in 1989, 1992 and 1999, respectively. From Sept. 1999 to Apr. 2001, he was a postdoctoral researcher of the Electronic Design Automation (EDA) Lab. at Department of Computer Science and Technology, Tsinghua University, Beijing, P. R. China. He is an associate professor there, and a IEEE member. From Dec. 2000 to Feb. 2001, he was a visiting scholar in University of California, San Diego (UCSD). His research interest is performance-driven layout. He has published more than 50 papers.

HONG XianLong was born in 1940. He is a professor at the Department of Computer Science and Technology in Tsinghua University, Beijing, P. R. China. His research interests include layout algorithms and systems.

BAO HaiYun was born in 1972. He is a Ph.D. candidate. His research interest is performance-driven global routing.

XU JingYu was born in 1976. She is a Ph.D. candidate. Her research interest is performance-driven global routing.

GU Jun received his B.S. degree in electrical engineering (with honors) from the University of Science and Technology of China in 1982 and his Ph.D. degree in computer science (with honors) from the University of Utah in 1989. Since 1994, he has been a professor of electrical and computer engineering at University of Calgary, Canada.

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Jing, T., Hong, X., Bao, H. et al. SSTT: Efficient local search for GSI global routing. J. Comput. Sci. & Technol. 18, 632–639 (2003). https://doi.org/10.1007/BF02947123

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  • DOI: https://doi.org/10.1007/BF02947123

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