Back to results

University of Illinois at Urbana-Champaign

Monte Carlo Methods for Reliability Analysis and Power Estimation

Abstract

dc:description

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.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Electrical Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Burch, Richard Gene
Contributors dc:contributor
  • Trick, Timothy N.

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Identifier
(UMI)AAI9328982
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/71997

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Burch, Richard Gene. Monte Carlo Methods for Reliability Analysis and Power Estimation. Dissertation thesis, University of Illinois at Urbana-Champaign, 2014. http://hdl.handle.net/2142/71997