DocumentCode
3580623
Title
An Efficient Approach to VLSI Circuit Partitioning Using Evolutionary Algorithms
Author
Sangwan, Dhiraj ; Verma, Seema ; Kumar, Rajesh
Author_Institution
CEERI, Pilani, India
fYear
2014
Firstpage
925
Lastpage
929
Abstract
Circuit Partitioning generally formulated as graph partitioning problem is an important step in physical design of circuits. The use of Evolutionary techniques is increasingly used to solve NP complete problems i.e. Applications for logic minimization and simulation heuristics. This paper explores the evolutionary approach of genetic algorithm and propose a hybrid technique involving the strengths of the existing techniques resulting in a better partitioning and placement of circuits. It can further be extended to the Hardware/Software boundary of algorithms and can be applied to real world physical design problems.
Keywords
VLSI; circuit optimisation; computational complexity; genetic algorithms; integrated circuit design; NP complete problems; VLSI circuit partitioning; evolutionary algorithms; genetic algorithm; graph partitioning problem; hardware-software boundary; logic minimization; physical circuit design; simulation heuristics; Algorithm design and analysis; Genetic algorithms; Optimization; Partitioning algorithms; Sociology; Statistics; Very large scale integration; Algorithm; Circuit Partitioning; Evolutionary Algorithm; Fiduccia Mattheyses Algorithm; Kernighan Lin; VLSI; optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN
978-1-4799-6928-9
Type
conf
DOI
10.1109/CICN.2014.195
Filename
7065615
Link To Document