José Monteiro,



In this talk I will describe a new method for power macromodeling of functional units for high-level power estimation based on Least-Squares Support Vector Machines (LS-SVM). This method improves the already good modeling capabilities of the basic LS-SVM method in two ways. First, a modified norm is used that is able to take into account the weight of each input for global power consumption in the computation of the kernels. Second, an iterative method is proposed where new data-points are selectively added as support-vectors to increase the generalization of the model. The macromodels obtained provide not only excellent accuracy on average (close to 1% error), but more importantly, thanks to our proposed modified kernels, we were able to reduce the maximum error to values close to 10%

Date and local
Tuesday, October, 6 2009, 11h30, room 336 at INESC-ID, Lisbon.

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Seminar organized by the
ALGOS group (


Date: 2009-Oct-06     Time: 11:30:00     Room: 336

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