Title :
Allocation and binding in data path synthesis using a genetic algorithm approach
Author :
Mandal, C.A. ; Chakrabarti, P.P. ; Ghose, S.
Author_Institution :
Dept. of Comput. Sci. & Eng., Jadavpur Univ., Calcutta, India
Abstract :
A technique for allocation and binding for data path synthesis (DPS) using a Genetic Algorithm (GA) approach has been developed. The proposed genetic algorithm uses a non-conventional crossover mechanism, relying on a novel force directed data path binding completion algorithm. The proposed technique has a number of features such as acceptance of some design parameters from the user, use of a bus based topology, use of multi-port memories and provision for multi-cycling and pipelining, among other features. The results obtained on the standard examples are promising
Keywords :
VLSI; circuit CAD; genetic algorithms; high level synthesis; integrated circuit design; allocation; binding; bus based topology; data path synthesis; design parameters; force directed data path binding completion algorithm; genetic algorithm; logic CAD; multicycling; multiport memories; nonconventional crossover mechanism; pipelining; Arithmetic; Costs; Genetic algorithms; Hardware; Integrated circuit interconnections; Pipeline processing; Routing; Testing; Topology; Very large scale integration;
Conference_Titel :
VLSI Design, 1996. Proceedings., Ninth International Conference on
Conference_Location :
Bangalore
Print_ISBN :
0-8186-7228-5
DOI :
10.1109/ICVD.1996.489470