7 citations · 12 across the 4 of their papers we have counts for
6 papers
TNN7: A Custom Macro Suite for Implementing Highly Optimized Designs of Neuromorphic TNNs
Harideep Nair, Prabhu Vellaisamy, Santha Bhasuthkar +1
Temporal Neural Networks (TNNs), inspired from the mammalian neocortex, exhibit energy-efficient online sensory processing capabilities. Recent works have proposed a microarchitect…
A Microarchitecture Implementation Framework for Online Learning with Temporal Neural Networks
Harideep Nair, John Paul Shen, James E. Smith
Temporal Neural Networks (TNNs) are spiking neural networks that use time as a resource to represent and process information, similar to the mammalian neocortex. In contrast to com…
Unsupervised Clustering of Time Series Signals using Neuromorphic Energy-Efficient Temporal Neural Networks
Shreyas Chaudhari, Harideep Nair, José M. F. Moura +1
Unsupervised time series clustering is a challenging problem with diverse industrial applications such as anomaly detection, bio-wearables, etc. These applications typically involv…
A Custom 7nm CMOS Standard Cell Library for Implementing TNN-based Neuromorphic Processors
Harideep Nair, Prabhu Vellaisamy, Santha Bhasuthkar +1
A set of highly-optimized custom macro extensions is developed for a 7nm CMOS cell library for implementing Temporal Neural Networks (TNNs) that can mimic brain-like sensory proces…
Direct CMOS Implementation of Neuromorphic Temporal Neural Networks for Sensory Processing
Harideep Nair, John Paul Shen, James E. Smith
Temporal Neural Networks (TNNs) use time as a resource to represent and process information, mimicking the behavior of the mammalian neocortex. This work focuses on implementing TN…
Hardware Aware Neural Network Architectures using FbNet
Sai Vineeth Kalluru Srinivas, Harideep Nair, Vinay Vidyasagar
We implement a differentiable Neural Architecture Search (NAS) method inspired by FBNet for discovering neural networks that are heavily optimized for a particular target device. T…