Title :
Fuzzified iterative algorithms for performance driven low power VLSI placement
Author :
Sait, Sadiq M. ; Youssef, Habib ; Khan, Junaid A. ; El-Maleh, Aiman
Author_Institution :
King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
fDate :
6/23/1905 12:00:00 AM
Abstract :
In this paper we employ fuzzified simulated evolution and stochastic evolution algorithms for VLSI. standard cell placement targeting low power dissipation and high performance. Due to the imprecise nature of design information at the placement stage, the various objectives and constraints are expressed in fuzzy domain. The search is made to evolve towards a vector of fuzzy goals. The proposed algorithms are compared with genetic algorithm
Keywords :
VLSI; circuit layout CAD; fuzzy logic; genetic algorithms; iterative methods; VLSI. standard cell placement; fuzzified iterative algorithms; fuzzified simulated evolution; fuzzy domain; genetic algorithm; performance driven low power VLSI placement; stochastic evolution algorithms; Capacitance; Cost function; Delay; Fuzzy sets; Integrated circuit interconnections; Iterative algorithms; Power dissipation; Stochastic processes; Switching circuits; Very large scale integration;
Conference_Titel :
Computer Design, 2001. ICCD 2001. Proceedings. 2001 International Conference on
Conference_Location :
Austin, TX
Print_ISBN :
0-7695-1200-3
DOI :
10.1109/ICCD.2001.955071
