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|Title:||Monte Carlo Methods for Reliability Analysis and Power Estimation|
|Author(s):||Burch, Richard Gene|
|Doctoral Committee Chair(s):||Trick, Timothy N.|
|Department / Program:||Electrical Engineering|
|Degree Granting Institution:||University of Illinois at Urbana-Champaign|
|Subject(s):||Engineering, Electronics and Electrical|
|Abstract:||Estimating the power dissipated during normal operating conditions is a major concern in the design of integrated circuits. Since excessive power dissipation causes overheating and can lead to soft errors and permanent damage, attempts to achieve first-pass reliability require accurate and efficient power estimation. With today's closer customer interaction, many circuits are being designed for already existing systems or for systems that are being concurrently designed. Accurate and efficient power estimation methods are needed to allow such close interaction.
In this thesis, we investigate a novel approach that combines the accuracy of simulation-based approaches with the weak pattern dependence of probabilistic approaches. The resulting approach 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. Since this method uses a finite number of patterns to estimate the power and the power really depends on the infinite set of possible input patterns, this method belongs to the general class of so-called Monte Carlo methods. We describe the approach and its implementation, and we show that it is accurate and efficient for VLSI circuits.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1993.
|Date Available in IDEALS:||2014-12-16|
This item appears in the following Collection(s)
Dissertations and Theses - Electrical and Computer Engineering
Dissertations and Theses in Electrical and Computer Engineering
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois