Articles with public access mandates - Abhiroop BhattacharjeeLearn more
Not available anywhere: 1
HaLo-FL: Hardware-Aware Low-Precision Federated Learning
Y Venkatesha, A Bhattacharjee, A Moitra, P Panda
2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2024
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Available somewhere: 20
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?
Y Kim, H Park, A Moitra, A Bhattacharjee, Y Venkatesha, P Panda
2022 IEEE International Conference on Acoustics, Speech and Signal Processing, 2022
Mandates: US National Science Foundation, US Department of Defense
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks
R Yin, A Moitra, A Bhattacharjee, Y Kim, P Panda
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022
Mandates: US National Science Foundation, US Department of Defense
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks
A Moitra*, A Bhattacharjee*, R Kuang, G Krishnan, Y Cao, P Panda
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022
Mandates: US National Science Foundation, US Department of Energy, US Department of …
NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars
A Bhattacharjee*, L Bhatnagar*, Y Kim*, P Panda
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021
Mandates: US National Science Foundation, US Department of Defense
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks
K Vasquez*, Y Venkatesha*, A Bhattacharjee, A Moitra, P Panda
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021
Mandates: US National Science Foundation
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars
A Bhattacharjee*, Y Kim*, A Moitra, P Panda
ACM/IEEE ISLPED 2022 (Best Paper Award), 2022
Mandates: US National Science Foundation, US Department of Defense
Switchx: Gmin-gmax switching for energy-efficient and robust implementation of binary neural networks on reram xbars
A Bhattacharjee, P Panda
ACM Transactions on Design Automation of Electronic Systems, 2022
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks
A Bhattacharjee, L Bhatnagar, P Panda
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022
Mandates: US National Science Foundation, US Department of Defense
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks
A Bhattacharjee*, A Moitra*, P Panda
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021
Mandates: US National Science Foundation
Are SNNs Truly Energy-efficient? A Hardware Perspective
A Bhattacharjee*, R Yin*, A Moitra*, P Panda
2024 IEEE International Conference on Acoustics, Speech and Signal …, 2024
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing
A Bhattacharjee, A Moitra, Y Kim, Y Venkatesha, P Panda
ACM Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI) 2023, 2023
Mandates: US National Science Foundation, US Department of Energy, US Department of …
MIME: Adapting a Single Neural Network for Multi-task Inference with Memory-efficient Dynamic Pruning
A Bhattacharjee, Y Venkatesha, A Moitra, P Panda
59th Design Automation Conference (DAC), 2022, 2022
Mandates: US National Science Foundation, US Department of Defense
XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing
A Moitra, A Bhattacharjee, Y Kim, P Panda
60th Design Automation Conference (DAC), 2023, 2023
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Comprehensive Understanding of Silicon-Nanowire Field-Effect Transistor Impedimetric Readout for Biomolecular Sensing
A Bhattacharjee*, TC Nguyen*, V Pachauri, S Ingebrandt, XT Vu
Micromachines 12 (1), 39, 2020
Mandates: German Research Foundation
ClipFormer: Key-Value Clipping of Transformers on Memristive Crossbars for Write Noise Mitigation
A Bhattacharjee, A Moitra, P Panda
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024
Mandates: US National Science Foundation, US Department of Energy, US Department of …
HyDe: A Hybrid PCM/FeFET/SRAM Device-search for Optimizing Area and Energy-efficiencies in Analog IMC Platforms
A Bhattacharjee, A Moitra, P Panda
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2023
Mandates: US National Science Foundation, US Department of Energy, US Department of …
DeepCAM: A Fully CAM-based Inference Accelerator with Variable Hash Lengths for Energy-efficient Deep Neural Networks
DT Nguyen, A Bhattacharjee, A Moitra, P Panda
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Metastability with Emerging Reconfigurable Transistors: Exploiting Ambipolarity for Throughput
A Bhattacharjee, S Rai, A Rupani, M Raitza, A Kumar
IFIP/IEEE 29th International Conference on Very Large Scale Integration …, 2021
Mandates: German Research Foundation
MCAIMem: a Mixed SRAM and eDRAM Cell for Area and Energy-efficient on-chip AI Memory
DT Nguyen, A Bhattacharjee, A Moitra, P Panda
IEEE Transactions on Very Large Scale Integration Systems, 2024
Mandates: US National Science Foundation, US Department of Energy, US Department of …
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