Abstract
Charge-trap transistors (CTTs) are compute-in-memory devices that are used to model synaptic arrays in neuromorphic systems. CTTs enable non von Neumann architectures, thus, eliminating the energy spent on compute-memory communication. Synaptic weights can be stored in CTTs by shifting the threshold voltage of the devices in an analog manner. CTTs are, however, susceptible to unintentional de-trapping of charge over time due to threshold voltage instability, leading to loss of the stored synaptic weights. The proposed weight refresh system performs statistical refresh of the CTT array to replenish the charge of individual CTT devices (restore synaptic weights) based on characterization of threshold voltage instability in high-k dielectrics.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
