Critical Path modeling for Dynamic Voltage Scaling (DVS) in Low Power Applications
نویسندگان
چکیده
Dynamic Voltage Scaling requires a model of the critical path to allow the proper setting of the supply voltage to meet a target frequency. In this paper, we propose a new technique to model the supply and delay relationship of a critical path which is based on Gaussian Radial Basis Functions (RBF) neural network. This modeling technique is able to successfully capture the process and temperature variability even at the granularity of individual transistors. The accuracies are comparable to SPICE, but with much less computational requirements. As a demonstration, we model a ring oscillator using the RBF network, and solve the problem of finding the optimum voltage for a target frequency across parameter variations.
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