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An Efficient Gradient Boosting Approach for PVT Aware Estimation of Leakage Power and Propagation Delay in CMOS/FinFET Digital Cells

Deepthi Amuru, Salman Ahmed, Zia Abbas

202023 citationsDOI

Abstract

In this paper, we propose an accurate and computationally efficient Gradient Boosting approach for the estimation of statistical variations aware leakage power and propagation delay in the CMOS/FinFET standard digital cells. The proposed model estimates the leakage power and propagation delay w.r.t variations in process, temperature (-55°C to 125°C) and supply voltage(±10% variations). The distinguishing feature of the proposed approach is its compatibility with both CMOS and FinFET technologies. Moreover, the performance of the proposed model is consistent with various technology nodes. Exhaustive tests report an average error of <; 1% in 16nm CMOS and FinFET standard digital cells w.r.t analog HSPICE simulations with several orders increase in computational speed. Further, the complex cell estimation can be carried out through precharacterized standard cells abstaining longer simulations.

Topics & Concepts

CMOSBoosting (machine learning)Leakage powerElectronic engineeringPropagation delayComputer scienceLeakage (economics)VoltageGradient boostingDigital electronicsElectrical engineeringTransistorEngineeringArtificial intelligenceElectronic circuitRandom forestEconomicsMacroeconomicsLow-power high-performance VLSI designAnalog and Mixed-Signal Circuit DesignAdvancements in Semiconductor Devices and Circuit Design
An Efficient Gradient Boosting Approach for PVT Aware Estimation of Leakage Power and Propagation Delay in CMOS/FinFET Digital Cells | Litcius