Abhiroop Bhattacharjee

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 41

Top Topics

Random Number Generator

Energy Efficient

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Abhishek Moitra, Abhiroop Bhattacharjee, Priyadarshini Panda
PIVOT- Input-aware Path Selection for Energy-efficient ViT Inference. CoRR (2024)
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
ClipFormer: Key-Value Clipping of Transformers on Memristive Crossbars for Write Noise Mitigation. CoRR (2024)
Abhiroop Bhattacharjee, Ruokai Yin, Abhishek Moitra, Priyadarshini Panda
Are SNNs Truly Energy-efficient? - A Hardware Perspective. ICASSP (2024)
Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
HaLo-FL: Hardware-Aware Low-Precision Federated Learning. DATE (2024)
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Abhiroop Bhattacharjee, Priyadarshini Panda
: Gmin-Gmax Switching for Energy-efficient and Robust Implementation of Binarized Neural Networks on ReRAM Xbars. ACM Trans. Design Autom. Electr. Syst. 28 (4) (2023)
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
HyDe: A brid PCM/FeFET/SRAM vice-Search for Optimizing Area and Energy-Efficiencies in Analog IMC Platforms. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (4) (2023)
Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
MCAIMem: a Mixed SRAM and eDRAM Cell for Area and Energy-efficient on-chip AI Memory. CoRR (2023)
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
HyDe: A Hybrid PCM/FeFET/SRAM Device-search for Optimizing Area and Energy-efficiencies in Analog IMC Platforms. CoRR (2023)
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
: Explore Adversarially Robust and Hardware-efficient Neural Architectures for Non-ideal Xbars. ACM Trans. Embed. Comput. Syst. 22 (4) (2023)
Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
DeepCAM: A Fully CAM-based Inference Accelerator with Variable Hash Lengths for Energy-efficient Deep Neural Networks. CoRR (2023)
Abhiroop Bhattacharjee, Ruokai Yin, Abhishek Moitra, Priyadarshini Panda
Are SNNs Truly Energy-efficient? - A Hardware Perspective. CoRR (2023)
Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
DeepCAM: A Fully CAM-based Inference Accelerator with Variable Hash Lengths for Energy-efficient Deep Neural Networks. DATE (2023)
Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (6) (2023)
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems. CoRR (2023)
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
XploreNAS: Explore Adversarially Robust & Hardware-efficient Neural Architectures for Non-ideal Xbars. CoRR (2023)
Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing. ACM Great Lakes Symposium on VLSI (2023)
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing. DAC (2023)
Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing. CoRR (2023)
Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang, Gokul Krishnan, Yu Cao, Priyadarshini Panda
SpikeSim: An End-to-End Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing. CoRR (2023)
Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang, Gokul Krishnan, Yu Cao, Priyadarshini Panda
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks? ICASSP (2022)
Abhiroop Bhattacharjee, Lakshya Bhatnagar, Youngeun Kim, Priyadarshini Panda
NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (8) (2022)
Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks? CoRR (2022)
Abhiroop Bhattacharjee, Lakshya Bhatnagar, Priyadarshini Panda
Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks. DATE (2022)
Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Abhishek Moitra, Priyadarshini Panda
MIME: adapting a single neural network for multi-task inference with memory-efficient dynamic pruning. DAC (2022)
Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, Priyadarshini Panda
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars. CoRR (2022)
Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, Priyadarshini Panda
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars. ISLPED (2022)
Abhiroop Bhattacharjee, Lakshya Bhatnagar, Priyadarshini Panda
Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks. CoRR (2022)
Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Abhishek Moitra, Priyadarshini Panda
MIME: Adapting a Single Neural Network for Multi-task Inference with Memory-efficient Dynamic Pruning. CoRR (2022)
Shubham Rai, Nishant Gupta, Abhiroop Bhattacharjee, Ansh Rupani, Michael Raitza, Jens Trommer, Thomas Mikolajick, Akash Kumar
END-TRUE: Emerging Nanotechnology-Based Double-Throughput True Random Number Generator. VLSI-SoC (Selected Papers) (2021)
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks. DATE (2021)
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks. CoRR (2021)
Abhiroop Bhattacharjee, Shubham Rai, Ansh Rupani, Michael Raitza, Akash Kumar
Metastability with Emerging Reconfigurable Transistors: Exploiting Ambipolarity for Throughput. VLSI-SoC (2021)
Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks. DATE (2021)
Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks. CoRR (2021)
Abhiroop Bhattacharjee, Lakshya Bhatnagar, Youngeun Kim, Priyadarshini Panda
NEAT: Non-linearity Aware Training for Accurate and Energy-Efficient Implementation of Neural Networks on 1T-1R Memristive Crossbars. CoRR (2020)
Abhiroop Bhattacharjee, Priyadarshini Panda
SwitchX- Gmin-Gmax Switching for Energy-Efficient and Robust Implementation of Binary Neural Networks on Memristive Xbars. CoRR (2020)
Abhiroop Bhattacharjee, Priyadarshini Panda
Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks. CoRR (2020)