Thesis
A power-delay evaluation of shorted, and independent, gate FinFET flip-flops under process variatons
Washington State University
Master of Science (MS), Washington State University
2011
Handle:
https://hdl.handle.net/2376/105730
Abstract
A power-delay study of five flip-flops that have been modified and evaluated for FinFET implementation.. First the flip-flops are modified and simulated using shorted-gate FinFETs. There are two sets of FF designs: FFs with minimized the delay, and FFs with minimized the power-delay-product. Next, the flip-flops are designed using independent-gate FinFETs by biasing the back gate of the FinFETs. Four different biases are used throughout the simulations. These designs are optimized to minimize delay and power-delay product. Monte Carlo variations are applied to the circuits to determine how the flip-flops would behave with respect to process variations. Monte Carlo simulations were performed on the shorted-gate scheme and one of the independent-gate schemes. The following flip-flop delays are reported: setup, CLK-Q, and hold times. The setup time and CLK-Q delay make up the register delay. These delays are in the pipeline stage critical path. Our study shows that the Low Delay (LDFF) flip-flop has the shortest register delay of 5.7ps. The flip-flop with the lowest power consumption is RIEM with 4.22 µW. All simulations were performed using the University of Florida Double-Gate MOSFET Model through the interface of Spice3f5 and Ngspice (ngspice3.ufdg-3.7) and a 32nm technology.
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Details
- Title
- A power-delay evaluation of shorted, and independent, gate FinFET flip-flops under process variatons
- Creators
- Philip Maurice Munson
- Contributors
- José G. Delgado-Frias (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; Pullman, Wash. :
- Identifiers
- 99900525017001842
- Language
- English
- Resource Type
- Thesis