9 citations · 14 across the 4 of their papers we have counts for
4 papers
TNNGen: Automated Design of Neuromorphic Sensory Processing Units for Time-Series Clustering
Prabhu Vellaisamy, Harideep Nair, Vamsikrishna Ratnakaram +2
Temporal Neural Networks (TNNs), a special class of spiking neural networks, draw inspiration from the neocortex in utilizing spike-timings for information processing. Recent works…
tuGEMM: Area-Power-Efficient Temporal Unary GEMM Architecture for Low-Precision Edge AI
Harideep Nair, Prabhu Vellaisamy, Albert Chen +4
General matrix multiplication (GEMM) is a ubiquitous computing kernel/algorithm for data processing in diverse applications, including artificial intelligence (AI) and deep learnin…
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…
Realtime Person Identification via Gait Analysis
Shanmuga Venkatachalam, Harideep Nair, Prabhu Vellaisamy +3
Each person has a unique gait, i.e., walking style, that can be used as a biometric for personal identification. Recent works have demonstrated effective gait recognition using dee…