Journal Article10.1049/IP-CDS:19941024
Two-level partitioning algorithm with stable performance
W.-P. Yang,J.-S. Ker,Y.-H. Kuo,Y.-K. Ho +3 more
- 01 Jun 1994
- Vol. 141, Iss: 3, pp 197-202
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TL;DR: This paper presents a ratio cut partitioning algorithm which provides stable results without executing the algorithm over many trials, and employs a preprocessing circuit-clustering procedure to improve the performance.
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Abstract: By using the concept of 'divide-and-conquer' the complexity of a large problem can be reduced efficiently Therefore, logic partitioning plays an important role in many aspects of VLSI design The ratio cut objective function has attracted much attention because it coordinates the two traditional goals of logic partitioning, mincut and equipartition, automatically How to reduce the total trials needed to run and maintain the quality of solutions is very important to the iterative improvement-based partitioning algorithms In this paper we present a ratio cut partitioning algorithm which provides stable results without executing the algorithm over many trials The proposed algorithm also employs a preprocessing circuit-clustering procedure to improve the performance Our partitioning heuristics were tested on some industry benchmark suites Good experimental results, which are better than those obtained by RCut10 and EIG1-IG algorithms, have been observed
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Citations
High-Quality Hypergraph Partitioning
Sebastian Schlag,Tobias Heuer,Lars Gottesbüren,Yaroslav Akhremtsev,Christian Schulz,Peter Sanders +5 more
TL;DR: KaHyPar, already without the memetic component, computes better solutions than all competing algorithms for both the cut-net and the connectivity metric, while being faster than Zoltan-AlgD and equally fast as hMETIS.
Genetic partitioning and placement for VLSI circuits
G.C. Sipakoulis,Ioannis Karafyllidis,Adonios Thanailakis +2 more
- 05 Sep 1999
TL;DR: An adaptive genetic algorithm for V LSI circuit partitioning and another for VLSI circuit placement are presented and their performance is compared with the performance of a non-adaptive genetic algorithm.
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•Journal Article
Complexities of Using Graph Partitioning in Modern Scientific Problems and Application to Power System Islanding
Ali Peiravi,Rahim Ildarabadi +1 more
TL;DR: The complexities of the application of graph partitioning in modern scientific applications are thoroughly investigated in order to shed some light on this issue with such a diverse domain of applications.
An adaptive genetic algorithm for VLSI circuit partitioning
TL;DR: An adaptive genetic algorithm for VLSI circuit partitioning is presented, and its performance is compared with the performance of a non-adaptive genetic algorithm.