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Sourjya Roy
Sourjya Roy
Research Assistant(PhD) at ISL at Purdue University (CBRIC,COCOSYS)
Verified email at purdue.edu
Title
Cited by
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Year
Resistive crossbars as approximate hardware building blocks for machine learning: Opportunities and challenges
I Chakraborty, M Ali, A Ankit, S Jain, S Roy, S Sridharan, A Agrawal, ...
Proceedings of the IEEE 108 (12), 2276-2310, 2020
872020
Proposal for a leaky-integrate-fire spiking neuron based on magnetoelectric switching of ferromagnets
A Jaiswal, S Roy, G Srinivasan, K Roy
IEEE Transactions on Electron Devices 64 (4), 1818-1824, 2017
842017
TxSim: Modeling training of deep neural networks on resistive crossbar systems
S Roy, S Sridharan, S Jain, A Raghunathan
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 29 (4), 730-738, 2021
462021
Pruning filters while training for efficiently optimizing deep learning networks
S Roy, P Panda, G Srinivasan, A Raghunathan
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
332020
Spike timing dependent plasticity based enhanced self-learning for efficient pattern recognition in spiking neural networks
G Srinivasan, S Roy, V Raghunathan, K Roy
2017 International Joint Conference on Neural Networks (IJCNN), 1847-1854, 2017
292017
Gradual channel pruning while training using feature relevance scores for convolutional neural networks
SA Aketi, S Roy, A Raghunathan, K Roy
IEEE Access 8, 171924-171932, 2020
282020
PIM-DRAM: Accelerating machine learning workloads using processing in commodity DRAM
S Roy, M Ali, A Raghunathan
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 11 (4 …, 2021
162021
Compute-in-memory technologies and architectures for deep learning workloads
M Ali, S Roy, U Saxena, T Sharma, A Raghunathan, K Roy
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 30 (11 …, 2022
142022
Design tools for resistive crossbar based machine learning accelerators
I Chakraborty, S Roy, S Sridharan, M Ali, A Ankit, S Jain, A Raghunathan
2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021
22021
Evaluation of STT-MRAM as a Scratchpad for Training in ML Accelerators
S Roy, C Wang, A Raghunathan
arXiv preprint arXiv:2308.02024, 2023
2023
Brain Inspired Enhanced Learning Mechanism Based on Spike Timing Dependent Plasticity (STDP) for Efficient Pattern Recognition in Spiking Neural Networks
S Roy, G Srinivasan, V Raghunathan
2016
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