Device scaling and performance limits of CMOS technology is leading to a
rapid proliferation of novel computing paradigms for information processing.
To this end, emerging hybrid CMOS/memristive devices integrated in 3D hold
lot of promise, with innovations in nanoimprint lithography, materials,
devices, and circuits. A prime advantage of such technology is its ability
to offer tera-bit densities, ultra low power, and long data retention times.
These unique characteristics provide opportunities to explore memristive
devices for multiple-functionality: as memory/sensor/logic elements, with
varying granularity. Architectures such as the crossbar array and 1T1R offer
high-density implementation of these devices, while providing challenges
through sneak paths. In this talk, the circuit and experimental data from
different memristive devices will be presented along with solutions to
mitigate design challenges (including sneak paths). Our pilot work on the
simulation framework will also be presented.
Dhireesha Kudithipudi received her Ph.D. in Electrical and Computer
Engineering from University of Texas, San Antonio. She is currently an
Assistant Professor in the Department of Computer Engineering at Rochester
Institute of Technology. Her research interests include Energy Efficient and
Reliable circuits in the Nano-CMOS domain, reconfigurable architectures with
emerging devices, Modeling biological systems in hardware, and Thermal
Management in 3D ICs.