24 citations · 62 across the 7 of their papers we have counts for
7 papers
SPORT: Spherical-PSNR-Optimized tRuncaTion for Power-Efficient 360-Degree Video Systems
Md. Sajjad Hossain, Hasibur Rahman Hemel, Kyle Mooney +7
Memory bandwidth accounts for 30-40% of total power consumption in standalone virtual reality (VR) headsets, yet existing systems typically store the entire 360-degree frame at a u…
Vibe2Spike: Batteryless Wireless Tags for Vibration Sensing with Event Cameras and Spiking Networks
Danny Scott, William LaForest, Hritom Das +5
The deployment of dense, low-cost sensors is critical for realizing ubiquitous smart environments. However, existing sensing solutions struggle with the energy, scalability, and re…
In-Sensor Motion Recognition with Memristive System and Light Sensing Surfaces
Hritom Das, Imran Fahad, SNB Tushar +5
In this paper, we introduce a novel device architecture that merges memristive devices with light-sensing surfaces, for energy-efficient motion recognition at the edge. Our light-s…
Two Birds with One Stone: Differential Privacy by Low-power SRAM Memory
Jianqing Liu, Na Gong, Hritom Das
The software-based implementation of differential privacy mechanisms has been shown to be neither friendly for lightweight devices nor secure against side-channel attacks. In this…
Enhanced Read Resolution in Reconfigurable Memristive Synapses for Spiking Neural Networks
Hritom Das, Nishith N. Chakraborty, Catherine Schuman +1
Synapse is a key element of any neuromorphic computing system which is mostly constructed with memristor devices. A memristor is a two-terminal analog memory device. Memristive syn…
An Efficient and Accurate Memristive Memory for Array-based Spiking Neural Networks
Hritom Das, Rocco D. Febbo, SNB Tushar +4
Memristors provide a tempting solution for weighted synapse connections in neuromorphic computing due to their size and non-volatile nature. However, memristors are unreliable in t…
Optimizations for a Current-Controlled Memristor-based Neuromorphic Synapse Design
Hritom Das, Rocco D. Febbo, Charlie P. Rizzo +3
The synapse is a key element of neuromorphic computing in terms of efficiency and accuracy. In this paper, an optimized current-controlled memristive synapse circuit is proposed. O…