A new technical paper titled “Non-Traditional Design of Dynamic Logics using FDSOI for Ultra-Efficient Computing” was published by researchers at University of Stuttgart, UC Berkeley, Indian Institute of Technology Kanpur, and TU Munich, with funding by the German Research Foundation.
Abstract
“In this paper, we propose a non-traditional design of dynamic logic circuits using Fully-Depleted Silicon on Insulator (FDSOI) FETs. FDSOI FET allows the threshold voltage ( Vt ) to be adjustable (i.e., low-Vt and high-Vt states) by using the back gate bias. Our design utilizes the front and back gates of an FDSOI FET as the input terminals and proposes the dynamic logic gates (like; NAND, NOR, AND, OR, XOR, and XNOR) and circuits (like; half adder and full adder). It requires fewer transistors to build dynamic logic gates and achieves high performance with low power dissipation compared to conventional dynamic logic designs. The compact industrial model of FDSOI FET (BSIM-IMG) has been used to simulate dynamic logic gates and is fully calibrated to reproduce the 14nm FDSOI FET technology node data. Calibration is performed for both electrical characteristics and process variations. The simulation results show an average improvement in transistor count, propagation delay, power, and power-delay product of 23.43%, 57.16%, 47.05%, and 77.29%, respectively, compared to the conventional designs. Further, our design reduces the charge sharing effect, which affects the drivability of the dynamic logic gates. In addition, we have analyzed the impact of the process, supply voltage, and load capacitance variations on the propagation delay of the dynamic logic family in detail. The results show that these variations have a minor impact on the propagation delay of the proposed FDSOI-based dynamic logic gates compared to the conventional dynamic logic gates.”
Find the technical paper here. Published April 2023.
S. Kumar, S. Chatterjee, C. K. Dabhi, Y. S. Chauhan and H. Amrouch, “Non-Traditional Design of Dynamic Logics using FDSOI for Ultra-Efficient Computing,” in IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, doi: 10.1109/JXCDC.2023.3269141. Open Access.
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