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Probabilistic Analysis of Power and Temperature Under Process Variation for Electronic System Design
Linköping University, Department of Computer and Information Science, ESLAB - Embedded Systems Laboratory. Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, ESLAB - Embedded Systems Laboratory. Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, ESLAB - Embedded Systems Laboratory. Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.
2014 (English)In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ISSN 0278-0070, E-ISSN 1937-4151, Vol. 33, no 6, 931-944 p.Article in journal (Refereed) Published
Abstract [en]

Electronic system design based on deterministic techniques for power-temperature analysis is, in the context of current and future technologies, both unreliable and inefficient since the presence of uncertainty, in particular, due to process variation, is disregarded. In this paper, we propose a flexible probabilistic framework targeted at the quantification of the transient power and temperature variations of an electronic system. The framework is capable of modeling diverse probability laws of the underlying uncertain parameters and arbitrary dependencies of the system on such parameters. For the considered system, under a given workload, our technique delivers analytical representations of the corresponding stochastic power and temperature profiles. These representations allow for a computationally efficient estimation of the probability distributions and accompanying quantities of the power and temperature characteristics of the system. The approximation accuracy and computational time of our approach are assessed by a range of comparisons with Monte Carlo simulations, which confirm the efficiency of the proposed technique.

Place, publisher, year, edition, pages
IEEE , 2014. Vol. 33, no 6, 931-944 p.
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:liu:diva-106743DOI: 10.1109/TCAD.2014.2301672ISI: 000338136100011OAI: oai:DiVA.org:liu-106743DiVA: diva2:718373
Available from: 2014-05-20 Created: 2014-05-20 Last updated: 2017-12-05Bibliographically approved

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Ukhov, IvanEles, PetruPeng, Zebo

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Ukhov, IvanEles, PetruPeng, Zebo
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ESLAB - Embedded Systems LaboratorySoftware and SystemsThe Institute of Technology
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