NDLI: UI-route: An ultra-fast incremental maze routing algorithm

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UI-route: An ultra-fast incremental maze routing algorithm

Content Provider	IEEE Xplore Digital Library
Author	Tsung-Wei Huang Pei-Ci Wu Wong, M.D.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA (Tsung-Wei Huang; Pei-Ci Wu; Wong, M.D.)
Abstract	Grid-based maze routing is a fundamental problem in electronic-design-automation (EDA) domain. A core primitive deals with a large query set about route connectivity subject to incremental changes on grid graph. Existing approaches pertain to batch processing, where each route query is independently and repeatedly solved by a routing procedure. Few researches so far discuss an efficient utilization of search knowledge in incremental fashion, which could dramatically speed up the search. Unfortunately, existing algorithms nearly rely on irregular and highly divergent search space, imposing acceleration challenges on refitting them to incremental version. Consequently, in this paper we present UI-Route, an ultra-fast incremental maze routing algorithm in grid environment. UI-Route is unique in breaking route equivalence, proving that a huge amount of equivalent search efforts can be optimally and incrementally eliminated. Equivalence breaking enables regularized search space, delivering well-tabulated search knowledge through the incremental processing. Moreover UI-Route is largely orthogonal to many applications built upon maze routing and therefore can seamlessly substitute for speedup. Experimental results on a set of modern circuit benchmarks demonstrate that UI-Route achieves prominent speedup over existing algorithms.
Sponsorship	ACM SIGDA
Starting Page	1
Ending Page	8
File Size	3454014
Page Count	8
File Format	PDF
DOI	10.1145/2633948.2633952
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Association for Computing Machinery, Inc. (ACM)
Content Type	Text
Resource Type	Article

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