The probability of error detection in sequential circuits using random test vectors
Journal of Electronic Testing: Theory and Applications
A survey of power estimation techniques in VLSI circuits
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on low-power design
A methodology for efficient estimation of switching activity in sequential logic circuits
DAC '94 Proceedings of the 31st annual Design Automation Conference
Exact and approximate methods for calculating signal and transition probabilities in FSMs
DAC '94 Proceedings of the 31st annual Design Automation Conference
Probabilistic analysis of large finite state machines
DAC '94 Proceedings of the 31st annual Design Automation Conference
Statistical estimation of the switching activity in digital circuits
DAC '94 Proceedings of the 31st annual Design Automation Conference
Power estimation in sequential circuits
DAC '95 Proceedings of the 32nd annual ACM/IEEE Design Automation Conference
Accurate power estimation of CMOS sequential circuits
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on the 1995 IEEE ASIC conference
Fast power estimation for deterministic input streams
ICCAD '97 Proceedings of the 1997 IEEE/ACM international conference on Computer-aided design
Stream synthesis for efficient power simulation based on spectral transforms
ISLPED '98 Proceedings of the 1998 international symposium on Low power electronics and design
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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.