Automatic characterization and modeling of power consumption in static RAMs
Mauro Chinosi, Roberto Zafalon, C. Guardiani · 2002
An automatic modeling technique is presented in this paper that allows to build an accurate model of power consumption in embedded memory blocks. A software neural-network is used to create a regression tree by automatically splitting those variables that have a discontinuous effect on the power consumption. An application of the methodology to the modeling of a 0.35µm CMOS embedded SRAM is presented.