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2020 – today
- 2025
[j3]Soumendu Kumar Ghosh
, Arghadip Das, Arnab Raha, Vijay Raghunathan:
Towards Energy-Accuracy Scalable Multimodal Cognitive Systems. IEEE Embed. Syst. Lett. 17(3): 156-159 (2025)- [c6]Arghadip Das, Yatharth Agarwal, Chunguang Wang, Arnab Raha, Sandeep Krishna Thirumala, Sumeet Kumar Gupta, Vijay Raghunathan:
PRISM: Toward Energy-Efficient AIoT with Processing-In-Sensor+Memory in Battery-Free Devices. COINS 2025: 1-6 - [c5]Arnab Raha, Souvik Kundu, Sharath Nittur Sridhar, Shamik Kundu, Soumendu Kumar Ghosh, Alessandro Palla, Arghadip Das, Darren Crews, Deepak A. Mathaikutty:
LLM-NPU: Towards Efficient Foundation Model Inference on Low-Power Neural Processing Units. COINS 2025: 1-8 - [c4]Arghadip Das, Shamik Kundu, Arnab Raha, Soumendu Kumar Ghosh, Deepak Mathaikutty, Vijay Raghunathan:
GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units. IJCNN 2025: 1-10 - [c3]Arghadip Das, Yatharth Agarwal, Soumendu Kumar Ghosh, Arnab Raha, Vijay Raghunathan:
Demo Abstract: ECO: Low Power Context-Aware Multimodal AI on NPUs. ISLPED 2025: 1-2 - [c2]Priyajit Ghosh, Rajarshi Mukherjee, Auro Anand Saha, Sutirtha Naha, Arghadip Das, Arnab Raha, Mrinal Kanti Naskar:
Demo Abstract: A Low-Power Real-Time Hardware Accelerator for Edge Detection Using Stochastic Computing. ISLPED 2025: 1-2 - [i2]Arghadip Das, Shamik Kundu, Arnab Raha, Soumendu Kumar Ghosh, Deepak Mathaikutty, Vijay Raghunathan:
GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units. CoRR abs/2502.06921 (2025) - [i1]Arghadip Das, Arnab Raha, Shamik Kundu, Soumendu Kumar Ghosh, Deepak Mathaikutty, Vijay Raghunathan:
XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units. CoRR abs/2502.06924 (2025) - 2024
- [j2]Arghadip Das, Soumendu Kumar Ghosh, Arnab Raha, Vijay Raghunathan:
Toward Energy-Efficient Collaborative Inference Using Multisystem Approximations. IEEE Internet Things J. 11(10): 17989-18004 (2024) - 2023
- [j1]Arghadip Das, Chandrachur Majumder, Debaprasad De, Arnab Raha, Mrinal Kanti Naskar:
HIPEDAP: Energy-Efficient Hardware Accelerators for Hidden Periodicity Detection. IEEE Trans. Computers 72(10): 2781-2794 (2023) - 2021
- [c1]Arghadip Das, Chandrachur Majumder, Debaprasad De, Arnab Raha, Mrinal Kanti Naskar:
HIPER: Low Power, High Performance and Area-Efficient Hardware Accelerators for Hidden Periodicity Detection using Ramanujan Filter Banks. VLSID 2021: 111-116
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