47 citations · 166 across the 21 of their papers we have counts for
6 papers · 1 filter
A Homogeneous Processing Fabric for Matrix-Vector Multiplication and Associative Search Using Ferroelectric Time-Domain Compute-in-Memory
Xunzhao Yin, Qingrong Huang, Franz Müller +8
In this work, we propose a ferroelectric FET(FeFET) time-domain compute-in-memory (TD-CiM) array as a homogeneous processing fabric for binary multiplication-accumulation (MAC) and…
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing
Sina Shahhosseini, Yang Ni, Hamidreza Alikhani +4
Health monitoring applications increasingly rely on machine learning techniques to learn end-user physiological and behavioral patterns in everyday settings. Considering the signif…
COSIME: FeFET based Associative Memory for In-Memory Cosine Similarity Search
Che-Kai Liu, Haobang Chen, Mohsen Imani +8
In a number of machine learning models, an input query is searched across the trained class vectors to find the closest feature class vector in cosine similarity metric. However, p…
Modeling and Predicting Transistor Aging under Workload Dependency using Machine Learning
Paul R. Genssler, Hamza E. Barkam, Karthik Pandaram +2
The pivotal issue of reliability is one of colossal concern for circuit designers. The driving force is transistor aging, dependent on operating voltage and workload. At the design…
Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing
Yang Ni, Danny Abraham, Mariam Issa +3
Reinforcement Learning (RL) has opened up new opportunities to enhance existing smart systems that generally include a complex decision-making process. However, modern RL algorithm…
An Ultra-Compact Single FeFET Binary and Multi-Bit Associative Search Engine
Xunzhao Yin, Franz Müller, Qingrong Huang +12
Content addressable memory (CAM) is widely used in associative search tasks for its highly parallel pattern matching capability. To accommodate the increasingly complex and data-in…