Abstract A new method for power estimation in sequential circuits is presented that is based on a statistical estimation technique. By applying randomly generated input sequences t...
In many scientific and engineering applications, detecting and understanding differences between two groups of examples can be reduced to a classical problem of training a classif...
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
We propose a new approach to RT-level power modeling for combinationalmacros, that does not require simulationbased characterization. A pattern-dependent power model for a macro i...
Alessandro Bogliolo, Luca Benini, Giovanni De Mich...
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