8 citations · 30 across the 6 of their papers we have counts for
3 papers · 1 filter
tubGEMM: Energy-Efficient and Sparsity-Effective Temporal-Unary-Binary Based Matrix Multiply Unit
Prabhu Vellaisamy, Harideep Nair, Joseph Finn +7
General Matrix Multiplication (GEMM) is a ubiquitous compute kernel in deep learning (DL). To support energy-efficient edge-native processing, new GEMM hardware units have been pro…
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…