HIPER: Low Power, High Performance and Area-Efficient Hardware Accelerators for Hidden Periodicity Detection using Ramanujan Filter Banks. - Arghadip Das; Chandrachur Majumder; Debaprasad De; Arnab Raha; Mrinal Kanti Naskar (VLSID, 2021)

HIPEDAP: Energy-Efficient Hardware Accelerators for Hidden Periodicity Detection. - Arghadip Das; Chandrachur Majumder; Debaprasad De; Arnab Raha; Mrinal Kanti Naskar (IEEE Trans. Computers, 2023)

Toward Energy-Efficient Collaborative Inference Using Multisystem Approximations. - Arghadip Das; Soumendu Kumar Ghosh; Arnab Raha; Vijay Raghunathan (IEEE Internet Things J., 2024)

GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units. - Arghadip Das; Shamik Kundu; Arnab Raha; Soumendu Kumar Ghosh; Deepak Mathaikutty; Vijay Raghunathan (CoRR, 2025)

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units. - Arghadip Das; Arnab Raha; Shamik Kundu; Soumendu Kumar Ghosh; Deepak Mathaikutty; Vijay Raghunathan (CoRR, 2025)

Towards Energy-Accuracy Scalable Multimodal Cognitive Systems. - Soumendu Kumar Ghosh; Arghadip Das; Arnab Raha; Vijay Raghunathan (IEEE Embed. Syst. Lett., 2025)