*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************
Title: Electronic Design Automation for High-Performance and Reliable 3D Memory Cubes and Processors
Committee:
Dr. Sung-Kyu Lim, ECE, Chair, Advisor
Dr. Shimeng Yu, ECE
Dr. Tushar Krishna, ECE
Dr. Madhavan Swaminathan, ECE
Dr. Hyesoon Kim, CoC
Abstract: This dissertation explores various techniques for the electronic design automation (EDA) of integrated circuits (IC) with high-performance and reliability features. We propose novel architectures, machine learning techniques, and physical design methodologies to improve the state-of-the-art technology. In the first theme, we conceive a new die stacking architecture for 3D memory cubes targeting space applications, complemented with custom radiation-hardened-by-design logic controllers. In the second theme, we explore machine learning to improve the implementation flow of a large field-programmable gate array (FPGA) emulation system and help tune the many knobs of a very-large-scale integration (VLSI) placement engine. Finally, for the third theme, we present a power, performance, area, and cost (PPAC) analysis of large-scale 3D IC processor designs, motivating our development of a new hierarchical 3D EDA flow focusing on a more holistic silicon area utilization.
