Title :
Monte-Carlo approach for power estimation in sequential circuits
Author :
Saxena, Vikram ; Najm, Farid N. ; Hajj, Ibrahim N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Champaign, IL, USA
Abstract :
In this paper we present a Monte-Carlo based statistical techniques for estimating power in sequential circuits. Mutually independent samples of power are generated by simulating multiple copies of the circuit. Since the approach is simulation-based, spatiotemporal correlations are automatically accounted for. The algorithm iterates until the user-specified accuracy is achieved. Experimental results on ISCAS89 circuits show that reliable results can be obtained in considerably less time than that required by exhaustive simulation
Keywords :
Monte Carlo methods; circuit analysis computing; sequential circuits; Monte-Carlo simulation; iterative algorithm; power estimation; sequential circuit; spatiotemporal correlation; statistical technique; Circuit simulation; Combinational circuits; Energy consumption; Flip-flops; Latches; Monte Carlo methods; Power dissipation; Power generation; Sequential circuits; Statistics;
Conference_Titel :
European Design and Test Conference, 1997. ED&TC 97. Proceedings
Conference_Location :
Paris
Print_ISBN :
0-8186-7786-4
DOI :
10.1109/EDTC.1997.582393
