MP1b.3

Memristors with Thousands of Conductance Levels for Analog Computing

J. Joshua Yang, University of Southern California, United States
Session:
MP1b: Neuromorphic Computing (invited) Lecture
Track:
Architectures and Implementation
Location:
Evergreen
Presentation Time:
Mon, 30 Oct, 16:20 - 16:45 PT (UTC -7)
Session Chair:
Yu Cao, University of Minnesota
Presentation
Discussion
Resources
No resources available.
Session MP1b
MP1b.1: Evaluating Neuron Models through Application-Hardware Co-Design
Catherine Schuman, Hritom Das, James Plank, Ahmedullah Aziz, Garrett Rose, University of Tennessee, United States
MP1b.2: Selective Attention for High-throughput and Energy-efficient Imaging
Kishore Kasichainula, Tianyi Zhang, Yaoxin Zhuo, Jae-sun Seo, Baoxin Li, Yu Cao, Arizona State University, United States
MP1b.3: Memristors with Thousands of Conductance Levels for Analog Computing
J. Joshua Yang, University of Southern California, United States
MP1b.4: Energy-efficient Hardware Design for Spiking Neural Networks
Abhishek Moitra, Ruokai Yin, Priyadarshini Panda, Yale University, United States
MP1b.5: Integrated Ferroelectricity for Advanced Logic and Memory Devices
Sayeef Salahuddin, UC Berkeley, United States
Contacts