DocumentCode
3386761
Title
Provably good algorithm for low power consumption with dual supply voltages
Author
Chunhong Chen ; Sarrafzadeh, M.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
fYear
1999
fDate
7-11 Nov. 1999
Firstpage
76
Lastpage
79
Abstract
The dual-voltage approach has emerged as an effective and practical technique for power reduction. In this paper, we explore power optimization with dual supply voltages under given timing constraints. By analyzing the relations among the timing slack, delay and power consumption in a given circuit, we relate the voltage-scaling power optimization to the maximal weighted independent set (MWIS) problem, which is polynomial-time solvable on a transitive graph. Then we develop a provably good lower-bound algorithm based on MWIS to generate the lower bound of the power consumption. Also, we propose a fast approach to predict the optimum supply voltages. The maximum power reduction is obtained by using a modified lower-bound algorithm with optimum voltages. Experimental results show that the resulting lower bound is tight for most circuits and that the estimated optimum supply voltage is exactly, or very close to, the best choice of actual voltages.
Keywords
CMOS logic circuits; VLSI; circuit optimisation; combinational circuits; computability; electric potential; electronic engineering computing; graph theory; low-power electronics; power consumption; delay; dual supply voltages; maximal weighted independent set problem; optimum supply voltage prediction; polynomial-time solution; power consumption; power reduction; provably good lower-bound algorithm; timing constraints; timing slack; transitive graph; voltage-scaling power optimization; Combinational circuits; Constraint optimization; Delay; Energy consumption; High performance computing; Polynomials; Power generation; Switching circuits; Timing; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Aided Design, 1999. Digest of Technical Papers. 1999 IEEE/ACM International Conference on
Conference_Location
San Jose, CA, USA
ISSN
1092-3152
Print_ISBN
0-7803-5832-5
Type
conf
DOI
10.1109/ICCAD.1999.810625
Filename
810625
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