Hritom Das

According to our database, Hritom Das authored at least 28 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Two Birds With One Stone: Differential Privacy by Low-Power SRAM Memory.

Jianqing Liu, Na Gong, Hritom Das

IEEE Trans. Dependable Secur. Comput., 2024

Hardware software co-design for leveraging STDP in a memristive neuroprocessor.

Nishith N. Chakraborty, Shelah Ameli, Hritom Das, Catherine D. Schuman, Garrett S. Rose

Neuromorph. Comput. Eng., 2024

Low-power and Computing-free Privacy Design for IoT Systems.

Hui Sun, Kyle Mooney, Mario Renteria-Pinon, Tingxiang Ji, Hritom Das, Na Gong, Jianqing Liu

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Evaluation of Neuron Parameters on the Performance of Spiking Neural Networks and Neuromorphic Hardware.

Catherine D. Schuman, Hritom Das, Garrett S. Rose, James S. Plank

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Hardware-Application Co-Design to Evaluate the Performance of an STDP-based Reservoir Computer.

Hritom Das, Karan P. Patel, Shelah Ameli, Nishith N. Chakraborty, Catherine D. Schuman, Garrett S. Rose

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

In-Sensor Motion Recognition with Memristive System and Light Sensing Surfaces.

Hritom Das, Imran Fahad, SNB Tushar, Sk Hasibul Alam, Graham Buchanan, Danny Scott, Garrett S. Rose, Sai Swaminathan

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

A Memristive Reconfigurable Neuromorphic Array for Neuro-Inspired Dynamic Architectures.

Hritom Das, Nishith N. Chakraborty, Manu Rathore, Sk Hasibul Alam, Catherine D. Schuman, Garrett S. Rose

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

HfO2-Based Synaptic Spiking Neural Network Evaluation to Optimize Design and Testing Cost.

SNB Tushar, Hritom Das, Garrett S. Rose

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023

An Efficient and Accurate Memristive Memory for Array-Based Spiking Neural Networks.

Hritom Das, Rocco D. Febbo, Sree Nirmillo Biswash Tushar, Nishith N. Chakraborty, Maximilian Liehr, Nathaniel C. Cady, Garrett S. Rose

IEEE Trans. Circuits Syst. I Regul. Pap., December, 2023

Optimizations for a Current-Controlled Memristor- Based Neuromorphic Synapse Design.

Hritom Das, Rocco D. Febbo, Charles P. Rizzo, Nishith N. Chakraborty, James S. Plank, Garrett S. Rose

IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023

Enhanced Read Resolution in Reconfigurable Memristive Synapses for Spiking Neural Networks.

Hritom Das, Nishith N. Chakraborty, Catherine D. Schuman, Garrett S. Rose

CoRR, 2023

Approximate Memory for Low-Power Video Applications.

Hritom Das, Ali Ahmad Haidous, Scott C. Smith, Na Gong

IEEE Access, 2023

Energy Efficient and High-Performance Synaptic Operating Point Evaluation for SNN Applications.

Nishith N. Chakraborty, SNB Tushar, Hritom Das, Garrett S. Rose

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Homeostatic Plasticity in a Leaky Integrate and Fire Neuron Using Tunable Leak.

Nishith N. Chakraborty, Hritom Das, Garrett S. Rose

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Spike-Driven Synaptic Plasticity for a Memristive Neuromorphic Core.

Nishith N. Chakraborty, Hritom Das, Garrett S. Rose

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Spike-Timing-Dependent Plasticity for a Hafnium-Oxide Memristive Synapse.

Nishith N. Chakraborty, Hritom Das, Garrett S. Rose

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Reliability Analysis of Memristive Reservoir Computing Architecture.

Manu Rathore, Rocco D. Febbo, Adam Z. Foshie, Sree Nirmillo Biswash Tushar, Hritom Das, Garrett S. Rose

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

RFAM: RESET-Failure-Aware-Model for HfO2-based Memristor to Enhance the Reliability of Neuromorphic Design.

Hritom Das, Manu Rathore, Rocco Febbo, Maximilian Liehr, Nathaniel C. Cady, Garrett S. Rose

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

A Mixed-Signal Short-Term Plasticity Implementation for a Current-Controlled Memristive Synapse.

Nishith N. Chakraborty, Hritom Das, Garrett S. Rose

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

Evaluating Neuron Models through Application-Hardware Co-Design.

Catherine D. Schuman, Hritom Das, James S. Plank, Ahmedullah Aziz, Garrett S. Rose

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Content-Adaptable ROI-Aware Video Storage for Power-Quality Scalable Mobile Streaming.

Ali Ahmad Haidous, William Oswald, Hritom Das, Na Gong

IEEE Access, 2022

STDP Based Online Learning for a Current-Controlled Memristive Synapse.

Ryan Weiss, Hritom Das, Nishith N. Chakraborty, Garrett S. Rose

Proceedings of the 65th IEEE International Midwest Symposium on Circuits and Systems, 2022

Benchmark Comparisons of Spike-based Reconfigurable Neuroprocessor Architectures for Control Applications.

Adam Z. Foshie, Charles Rizzo, Hritom Das, Chaohui Zheng, James S. Plank, Garrett S. Rose

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

2021

Flexible Low-Cost Power-Efficient Video Memory With ECC-Adaptation.

Hritom Das, Ali Ahmad Haidous, Scott C. Smith, Na Gong

IEEE Trans. Very Large Scale Integr. Syst., 2021

Application-Aware Quality-Energy Optimization: Mathematical Models Enabled Simultaneous Quality and Energy-Sensitive Optimal Memory Design.

Yiwen Xu, Hritom Das, Na Gong

IEEE Trans. Sustain. Comput., 2021

2020

Memory Optimization for Energy-Efficient Differentially Private Deep Learning.

Jonathon Edstrom, Hritom Das, Yiwen Xu, Na Gong

IEEE Trans. Very Large Scale Integr. Syst., 2020

On Mathematical Models of Optimal Video Memory Design.

Yiwen Xu, Hritom Das, Yifu Gong, Na Gong

IEEE Trans. Circuits Syst. Video Technol., 2020

2019

Embedded sensory data memory optimization for IoT edge inference with privacy, accuracy, and energy efficiency.

Jonathon Edstrom, Hritom Das, Yiwen Xu, Na Gong

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019