DocumentCode :
599763
Title :
An elitist area-power density trade-off in VLSI floorplan using genetic algorithm
Author :
Das, Aruneema ; Choudhury, Sagnik Ray ; Kumar, B. Kalyan ; Pradhan, S.N.
Author_Institution :
Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Agartala, India
fYear :
2012
fDate :
20-22 Dec. 2012
Firstpage :
729
Lastpage :
732
Abstract :
Due to trade-offs between the VLSI circuit parameters, chip suffers from reliability issues. It needs to be optimizing for better performance. Such problems are defined as NP-hard problems. In this paper a heuristic has been developed using genetic algorithm for solving the floorplan problem. The proposed algorithm is an improved floorplan algorithm, for optimizing simultaneously the trade-off parameters area and zonal peak power density. The initial populations are randomly chosen from a superset of large initial population & genetic algorithm is implemented to obtain the best floorplan solution. Randomized selection is taken to make the selection area flexible. The proposed algorithm has been validated with the ISCAS85 benchmark circuits for 65nm and 90nm.
Keywords :
VLSI; circuit complexity; genetic algorithms; integrated circuit layout; integrated circuit reliability; ISCAS85 benchmark circuits; NP-hard problem; VLSI circuit parameters; VLSI floorplan; elitist area-power density trade-off; genetic algorithm; improved floorplan algorithm; randomized selection; reliability issue; size 65 nm; size 90 nm; zonal peak power density; Biological cells; Density measurement; Genetic algorithms; Merging; Power system measurements; Sociology; Very large scale integration; Area-power density trade-offs; NP-hard; floorplan; heuristics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical & Computer Engineering (ICECE), 2012 7th International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4673-1434-3
Type :
conf
DOI :
10.1109/ICECE.2012.6471654
Filename :
6471654
Link To Document :
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