A MONTE-CARLO APPROACH FOR THE ESTIMATION OF AVERAGE TRANSITION PROBABILITIES IN SEQUENTIAL LOGIC CIRCUITS

A MONTE-CARLO APPROACH FOR THE ESTIMATION OF AVERAGE TRANSITION PROBABILITIES IN SEQUENTIAL LOGIC CIRCUITS

This paper presents an efficient and accurate Monte-Carlo approach to the problem of estimating average node switching probabilities in sequential circuits, which are used in average power estimation and reliability analysis of these circuits. Specific error bounds for the proposed estimation method...

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Veröffentlicht in:Active and Passive Electronic Components 2001, Vol.2001 (2), p.69-85
1. Verfasser: STAMOULIS, Georgios I
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Circuit properties
Digital circuits
Electric, optical and optoelectronic circuits
Electronic circuits
Electronics
Exact sciences and technology
Monte-Carlo approach
Simulations
STG
Switching, multiplexing, switched capacity circuits
VLSI circuits
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Beschreibung
Zusammenfassung:This paper presents an efficient and accurate Monte-Carlo approach to the problem of estimating average node switching probabilities in sequential circuits, which are used in average power estimation and reliability analysis of these circuits. Specific error bounds for the proposed estimation method are given at a certain level of confidence. This method is based on the analysis of paths in the State Transition Graph (STG) of the circuit and is validated by both theoretical analysis as well as experimental results.
ISSN:0882-7516
1563-5031
DOI:10.1155/2001/41403