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ORCIDHritom Das
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2020 – today
- 2024
[j9]Nishith N. Chakraborty
, Shelah Ameli, Hritom Das, Catherine D. Schuman, Garrett S. Rose:
Hardware software co-design for leveraging STDP in a memristive neuroprocessor. Neuromorph. Comput. Eng. 4(2): 24010 (2024)- [c17]SNB Tushar, Hritom Das, Garrett S. Rose:
HfO2-Based Synaptic Spiking Neural Network Evaluation to Optimize Design and Testing Cost. ISCAS 2024: 1-5 - [c16]Hritom Das, Imran Fahad, SNB Tushar, Sk Hasibul Alam, Graham Buchanan, Danny Scott, Garrett S. Rose, Sai Swaminathan:
In-Sensor Motion Recognition with Memristive System and Light Sensing Surfaces. ISVLSI 2024: 192-197 - [c15]Catherine D. Schuman, Hritom Das, Garrett S. Rose, James S. Plank:
Evaluation of Neuron Parameters on the Performance of Spiking Neural Networks and Neuromorphic Hardware. ISVLSI 2024: 337-342 - [c14]Hritom Das, Nishith N. Chakraborty, Manu Rathore, Sk Hasibul Alam, Catherine D. Schuman, Garrett S. Rose:
A Memristive Reconfigurable Neuromorphic Array for Neuro-Inspired Dynamic Architectures. ISVLSI 2024: 415-420 - [c13]Hui Sun, Kyle Mooney, Mario Renteria-Pinon, Tingxiang Ji, Hritom Das, Na Gong, Jianqing Liu:
Low-power and Computing-free Privacy Design for IoT Systems. ISVLSI 2024: 439-444 - [c12]Hritom Das, Karan P. Patel, Shelah Ameli, Nishith N. Chakraborty, Catherine D. Schuman, Garrett S. Rose:
Hardware-Application Co-Design to Evaluate the Performance of an STDP-based Reservoir Computer. ISVLSI 2024: 666-670 - [i4]Jianqing Liu, Na Gong, Hritom Das:
Two Birds with One Stone: Differential Privacy by Low-power SRAM Memory. CoRR abs/2403.17303 (2024) - 2023
- [j8]Hritom Das, Ali Ahmad Haidous, Scott C. Smith, Na Gong:
Approximate Memory for Low-Power Video Applications. IEEE Access 11: 57735-57744 (2023) - [j7]Hritom Das, Rocco D. Febbo, Charles P. Rizzo, Nishith N. Chakraborty, James S. Plank, Garrett S. Rose:
Optimizations for a Current-Controlled Memristor- Based Neuromorphic Synapse Design. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 889-900 (2023) - [j6]Hritom Das, Rocco D. Febbo, Sree Nirmillo Biswash Tushar, Nishith N. Chakraborty, Maximilian Liehr, Nathaniel C. Cady, Garrett S. Rose:
An Efficient and Accurate Memristive Memory for Array-Based Spiking Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 70(12): 4804-4815 (2023) - [c11]Catherine D. Schuman, Hritom Das, James S. Plank, Ahmedullah Aziz, Garrett S. Rose:
Evaluating Neuron Models through Application-Hardware Co-Design. ACSSC 2023: 537-542 - [c10]Manu Rathore, Rocco D. Febbo, Adam Z. Foshie, Sree Nirmillo Biswash Tushar, Hritom Das, Garrett S. Rose:
Reliability Analysis of Memristive Reservoir Computing Architecture. ACM Great Lakes Symposium on VLSI 2023: 131-136 - [c9]Nishith N. Chakraborty, Hritom Das, Garrett S. Rose:
A Mixed-Signal Short-Term Plasticity Implementation for a Current-Controlled Memristive Synapse. ACM Great Lakes Symposium on VLSI 2023: 179-182 - [c8]Hritom Das, Manu Rathore, Rocco Febbo, Maximilian Liehr, Nathaniel C. Cady, Garrett S. Rose:
RFAM: RESET-Failure-Aware-Model for HfO2-based Memristor to Enhance the Reliability of Neuromorphic Design. ACM Great Lakes Symposium on VLSI 2023: 281-286 - [c7]Nishith N. Chakraborty, Hritom Das, Garrett S. Rose:
Spike-Timing-Dependent Plasticity for a Hafnium-Oxide Memristive Synapse. MWSCAS 2023: 463-467 - [c6]Nishith N. Chakraborty, Hritom Das, Garrett S. Rose:
Spike-Driven Synaptic Plasticity for a Memristive Neuromorphic Core. MWSCAS 2023: 644-648 - [c5]Nishith N. Chakraborty, Hritom Das, Garrett S. Rose:
Homeostatic Plasticity in a Leaky Integrate and Fire Neuron Using Tunable Leak. MWSCAS 2023: 738-742 - [c4]Nishith N. Chakraborty, SNB Tushar, Hritom Das, Garrett S. Rose:
Energy Efficient and High-Performance Synaptic Operating Point Evaluation for SNN Applications. MWSCAS 2023: 918-922 - [i3]Hritom Das, Rocco D. Febbo, Charles Rizzo, Nishith N. Chakraborty, James S. Plank, Garrett S. Rose:
Optimizations for a Current-Controlled Memristor-based Neuromorphic Synapse Design. CoRR abs/2305.16418 (2023) - [i2]Hritom Das, Rocco D. Febbo, Sree Nirmillo Biswash Tushar, Nishith N. Chakraborty, Maximilian Liehr, Nathaniel C. Cady, Garrett S. Rose:
An Efficient and Accurate Memristive Memory for Array-based Spiking Neural Networks. CoRR abs/2306.06551 (2023) - [i1]Hritom Das, Nishith N. Chakraborty, Catherine D. Schuman, Garrett S. Rose:
Enhanced Read Resolution in Reconfigurable Memristive Synapses for Spiking Neural Networks. CoRR abs/2306.13721 (2023) - 2022
- [j5]Ali Ahmad Haidous, William Oswald, Hritom Das, Na Gong:
Content-Adaptable ROI-Aware Video Storage for Power-Quality Scalable Mobile Streaming. IEEE Access 10: 26830-26848 (2022) - [c3]Adam Z. Foshie, Charles Rizzo, Hritom Das, Chaohui Zheng, James S. Plank, Garrett S. Rose:
Benchmark Comparisons of Spike-based Reconfigurable Neuroprocessor Architectures for Control Applications. ACM Great Lakes Symposium on VLSI 2022: 383-386 - [c2]Ryan Weiss, Hritom Das, Nishith N. Chakraborty, Garrett S. Rose:
STDP Based Online Learning for a Current-Controlled Memristive Synapse. MWSCAS 2022: 1-4 - 2021
- [j4]Yiwen Xu, Hritom Das, Na Gong:
Application-Aware Quality-Energy Optimization: Mathematical Models Enabled Simultaneous Quality and Energy-Sensitive Optimal Memory Design. IEEE Trans. Sustain. Comput. 6(4): 559-571 (2021) - [j3]Hritom Das, Ali Ahmad Haidous, Scott C. Smith, Na Gong:
Flexible Low-Cost Power-Efficient Video Memory With ECC-Adaptation. IEEE Trans. Very Large Scale Integr. Syst. 29(10): 1693-1706 (2021) - 2020
- [j2]Yiwen Xu, Hritom Das, Yifu Gong, Na Gong:
On Mathematical Models of Optimal Video Memory Design. IEEE Trans. Circuits Syst. Video Technol. 30(1): 256-266 (2020) - [j1]Jonathon Edstrom, Hritom Das, Yiwen Xu, Na Gong:
Memory Optimization for Energy-Efficient Differentially Private Deep Learning. IEEE Trans. Very Large Scale Integr. Syst. 28(2): 307-316 (2020)
2010 – 2019
- 2019
- [c1]Jonathon Edstrom, Hritom Das, Yiwen Xu, Na Gong:
Embedded sensory data memory optimization for IoT edge inference with privacy, accuracy, and energy efficiency. SEC 2019: 357
Coauthor Index
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