As prevailing copper interconnect technology advances to its fundamental physical limit, interconnect delay due to ever-increasing wire resistivity has greatly limited the circuit miniaturization. Carbon nanotube (CNT) interconnects have emerged as promising replacement materials for copper interconnects due to their superior conductivity. Buer insertion for CNT interconnects is capable of improving circuit timing of signal nets with limited buer deployment. However, due to the imperfection of fabricating long straight CNT, there exist signicant unidimensional-spatially correlated variations on the critical CNT geometric parameters such as the diameter and density, which will aect the circuit performance. This dissertation develops a novel timing driven buer insertion technique considering unidimensional correlations of variations of CNT. Although the fabrication variations of CNTs are not desired for the circuit designs targeting performance optimization and reliability, these inherent imperfections make them natural candidates for building highly secure physical unclonable function (PUF), which is an advanced hardware security technology. A novel CNT PUF design through leveraging Lorenz chaotic system is developed and we show that it is resistant to many machine learning modeling attacks. In summary, the studies in this dissertation demonstrate that CNT technology is highly promising for performance and security optimizations in advanced VLSI circuit design.
|Commitee:||Onder, Nilufer, Sun, Ye, Wang, Zhaohui|
|School:||Michigan Technological University|
|Department:||Electrical and Computer Engineering|
|School Location:||United States -- Michigan|
|Source:||DAI-B 78/10(E), Dissertation Abstracts International|
|Keywords:||Buffer insertion, Carbon nanotubes, Machine learning, Physical unclonable function, Security, Timing optimization|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be