Citation
Keller, Sean Jason (2014) Robust Near-Threshold QDI Circuit Analysis and Design. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/79EJ-Q945. https://resolver.caltech.edu/CaltechTHESIS:08172013-192316055
Abstract
The two most important digital-system design goals today are to reduce power consumption and to increase reliability. Reductions in power consumption improve battery life in the mobile space and reductions in energy lower operating costs in the datacenter. Increased robustness and reliability shorten down time, improve yield, and are invaluable in the context of safety-critical systems. While optimizing towards these two goals is important at all design levels, optimizations at the circuit level have the furthest reaching effects; they apply to all digital systems. This dissertation presents a study of robust minimum-energy digital circuit design and analysis. It introduces new device models, metrics, and methods of calculation—all necessary first steps towards building better systems—and demonstrates how to apply these techniques. It analyzes a fabricated chip (a full-custom QDI microcontroller designed at Caltech and taped-out in 40-nm silicon) by calculating the minimum energy operating point and quantifying the chip’s robustness in the face of both timing and functional failures.
Item Type: | Thesis (Dissertation (Ph.D.)) |
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Subject Keywords: | VLSI, digital circuits, near-threshold, subthreshold, reliability |
Degree Grantor: | California Institute of Technology |
Division: | Engineering and Applied Science |
Major Option: | Computer Science |
Thesis Availability: | Public (worldwide access) |
Research Advisor(s): |
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Thesis Committee: |
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Defense Date: | 9 August 2013 |
Record Number: | CaltechTHESIS:08172013-192316055 |
Persistent URL: | https://resolver.caltech.edu/CaltechTHESIS:08172013-192316055 |
DOI: | 10.7907/79EJ-Q945 |
Default Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. |
ID Code: | 7925 |
Collection: | CaltechTHESIS |
Deposited By: | Sean Keller |
Deposited On: | 12 Jan 2015 17:09 |
Last Modified: | 04 Oct 2019 00:02 |
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