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Utkarsh Saxena
Utkarsh Saxena
在 purdue.edu 的电子邮件经过验证
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引用次数
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On-chip learning for domain wall synapse based fully connected neural network
D Bhowmik, U Saxena, A Dankar, A Verma, D Kaushik, S Chatterjee, ...
Journal of Magnetism and Magnetic Materials 489, 165434, 2019
632019
Low-energy implementation of feed-forward neural network with back-propagation algorithm using a spin-orbit torque driven skyrmionic device
U Saxena, D Kaushik, M Bansal, U Sahu, D Bhowmik
IEEE Transactions on Magnetics 54 (11), 1-5, 2018
232018
A 35.5-127.2 tops/w dynamic sparsity-aware reconfigurable-precision compute-in-memory sram macro for machine learning
M Ali, I Chakraborty, U Saxena, A Agrawal, A Ankit, K Roy
IEEE Solid-State Circuits Letters 4, 129-132, 2021
222021
Towards ADC-less compute-in-memory accelerators for energy efficient deep learning
U Saxena, I Chakraborty, K Roy
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 624-627, 2022
142022
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
132022
On-chip learning in a conventional silicon MOSFET based analog hardware neural network
N Dey, J Sharda, U Saxena, D Kaushik, U Singh, D Bhowmik
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2019
132019
Revisiting stochastic computing in the era of nanoscale nonvolatile technologies
A Agrawal, I Chakraborty, D Roy, U Saxena, S Sharmin, M Koo, Y Shim, ...
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 28 (12 …, 2020
122020
Hardware/software co-design with adc-less in-memory computing hardware for spiking neural networks
MPE Apolinario, AK Kosta, U Saxena, K Roy
IEEE Transactions on Emerging Topics in Computing, 2023
62023
Embracing stochasticity to enable neuromorphic computing at the edge
A Agrawal, D Roy, U Saxena, K Roy
IEEE Design & Test 38 (6), 28-35, 2021
62021
Skyrmionic implementation of spike time dependent plasticity (STDP) enabled spiking neural network (SNN) under supervised learning scheme
U Sahu, K Goyal, U Saxena, T Chavan, U Ganguly, D Bhowmik
2018 4th IEEE International Conference on Emerging Electronics (ICEE), 1-6, 2018
32018
Ferroelectric capacitors and field-effect transistors as in-memory computing elements for machine learning workloads
E Yu, GK K, U Saxena, K Roy
Scientific Reports 14 (1), 9426, 2024
2024
HCiM: ADC-Less Hybrid Analog-Digital Compute in Memory Accelerator for Deep Learning Workloads
S Negi, U Saxena, D Sharma, K Roy
arXiv preprint arXiv:2403.13577, 2024
2024
Sparsity-aware reconfigurable compute-in-memory (CIM) static random access memory (SRAM)
K Roy, A Agrawal, MFA Ali, I Chakraborty, A Ankit, U Saxena
US Patent 11,929,141, 2024
2024
McQueen: Mixed Precision Quantization of Early Exit Networks.
U Saxena, K Roy
BMVC, 511-513, 2023
2023
Partial-Sum Quantization for Near ADC-Less Compute-In-Memory Accelerators
U Saxena, K Roy
2023 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2023
2023
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