McPOWER: a Monte Carlo approach to power estimation
- 1 January 1992
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
An alternative technique for power estimation that combines the accuracy of simulation-based techniques with the speed of the probabilistic technique is investigated. The resulting method is statistical in nature; it consists of applying randomly-generated input patterns to the circuit and monitoring, with a simulator, the resulting power value. This is continued until a value of power is obtained with a desired accuracy, at a specified confidence level. The algorithm and experimental results are presented and the superiority of this approach is discussed.<>Keywords
This publication has 5 references indexed in Scilit:
- An accurate simulation technique for short-circuit power dissipation based on current component isolationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Transition density: a new measure of activity in digital circuitsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1993
- Transition density, a stochastic measure of activity in digital circuitsPublished by Association for Computing Machinery (ACM) ,1991
- Accurate simulation of power dissipation in VLSI circuitsIEEE Journal of Solid-State Circuits, 1986
- Short-circuit dissipation of static CMOS circuitry and its impact on the design of buffer circuitsIEEE Journal of Solid-State Circuits, 1984