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Probabilistic Analysis of Electronic Systems via Adaptive Hierarchical Interpolation
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. (ESLAB)ORCID iD: 0000-0001-7910-3907
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
2017 (English)In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ISSN 0278-0070, E-ISSN 1937-4151Article in journal (Refereed) Published
Abstract [en]

We present a framework for system-level analysis of electronic systems whose runtime behaviors depend on uncertain parameters. The proposed approach thrives on hierarchical interpolation guided by an advanced adaptation strategy, which makes the framework general and suitable for studying various metrics that are of interest to the designer. Examples of such metrics include the end-to-end delay, total energy consumption, and maximum temperature of the system under consideration. The framework delivers a light generative representation that allows for a straightforward, computationally efficient calculation of the probability distribution and accompanying statistics of the metric at hand. Our technique is illustrated by considering a number of uncertainty-quantification problems and comparing the corresponding results with exhaustive simulations.

Place, publisher, year, edition, pages
IEEE Computer Society, 2017.
Keyword [en]
adaptive interpolation, computer simulation, electronic system, probabilistic analysis, sparse grid, statistical dependence, uncertainty quantification
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-140760DOI: 10.1109/TCAD.2017.2705117OAI: oai:DiVA.org:liu-140760DiVA: diva2:1140360
Available from: 2017-09-12 Created: 2017-09-12 Last updated: 2017-09-12Bibliographically approved

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