Probabilistic Analysis of Electronic Systems via Adaptive Hierarchical Interpolation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD 2017), vol. 36, no. 11, pp. 1883–1896, November 2017.
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.
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[UEP17] Ivan Ukhov, Petru Eles, Zebo Peng, "Probabilistic Analysis of Electronic Systems via Adaptive Hierarchical Interpolation", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD 2017), vol. 36, no. 11, pp. 1883–1896, November 2017.