| Partnner: Platform-agnostic adaptive edge-cloud dnn partitioning for minimizing end-to-end latency SK Ghosh, A Raha, V Raghunathan, A Raghunathan ACM Transactions on Embedded Computing Systems 23 (1), 1-38, 2024 | 25 | 2024 |
| FlexNPU: A dataflow-aware flexible deep learning accelerator for energy-efficient edge devices A Raha, DA Mathaikutty, S Kundu, SK Ghosh Frontiers in High Performance Computing 3, 1570210, 2025 | 21 | 2025 |
| Power efficient event detection scheme in wireless sensor networks for railway bridge health monitoring system SK Ghosh, M Suman, R Datta, PK Biswas 2014 IEEE International Conference on Advanced Networks and …, 2014 | 19 | 2014 |
| Energy-efficient approximate edge inference systems SK Ghosh, A Raha, V Raghunathan ACM Transactions on Embedded Computing Systems 22 (4), 1-50, 2023 | 18 | 2023 |
| Approximate inference systems (axis) end-to-end approximations for energy-efficient inference at the edge SK Ghosh, A Raha, V Raghunathan Proceedings of the ACM/IEEE International Symposium on Low Power Electronics …, 2020 | 15 | 2020 |
| Special session: Approximate TinyML systems: Full system approximations for extreme energy-efficiency in intelligent edge devices A Raha, S Ghosh, D Mohapatra, DA Mathaikutty, R Sung, C Brick, ... 2021 IEEE 39th International Conference on Computer Design (ICCD), 13-16, 2021 | 12 | 2021 |
| Toward energy-efficient collaborative inference using multisystem approximations A Das, SK Ghosh, A Raha, V Raghunathan IEEE Internet of Things Journal 11 (10), 17989-18004, 2024 | 10 | 2024 |
| Efficient hardware acceleration of emerging neural networks for embedded machine learning: An industry perspective A Raha, R Sung, S Ghosh, PK Gupta, DA Mathaikutty, UI Cheema, ... Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing …, 2023 | 8 | 2023 |
| Impact of mismatch losses arising in crystalline and amorphous silicon PV modules-An Indian experience P Paul, SK Ghosh, K Ghosh, D Mukherjee 2011 World Congress on Sustainable Technologies (WCST), 153-155, 2011 | 4 | 2011 |
| SwiSS: Switchable Single-Sided Sparsity-based DNN Accelerators S Kundu, SK Ghosh, A Raha, DA Mathaikutty Proceedings of the 29th ACM/IEEE International Symposium on Low Power …, 2024 | 3 | 2024 |
| Approximating activation functions with Taylor series UI Cheema, DA Mathaikutty, A Raha, D Kondru, RJH Sung, SK Ghosh US Patent App. 18/346,992, 2023 | 3 | 2023 |
| Railway bridge health monitoring system using smart wireless sensor network SD Velagandula, N Dhang, R Datta, SK Ghosh, S Maroju Proceedings of the 10th ACM Conference on Security and Privacy in Wireless …, 2017 | 3 | 2017 |
| LLM-NPU: Towards Efficient Foundation Model Inference on Low-Power Neural Processing Units A Raha, S Kundu, SN Sridhar, S Kundu, SK Ghosh, A Palla, A Das, ... 2025 IEEE International Conference on Omni-layer Intelligent Systems (COINS …, 2025 | 2 | 2025 |
| Harvest: towards efficient sparse DNN accelerators using programmable thresholds SK Ghosh, S Kundu, A Raha, DA Mathaikutty, V Raghunathan 2024 37th International Conference on VLSI Design and 2024 23rd …, 2024 | 2 | 2024 |
| CEEDS: A Cost Effective Event Detection System for Energy Efficient Railway Bridge Monitoring with Wireless Sensor Network. SK Ghosh, M Suman, R Datta, PK Biswas EAI Endorsed Trans. Ubiquitous Environ. 3 (8), e3, 2016 | 2 | 2016 |
| GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units A Das, S Kundu, A Raha, S Ghosh, D Mathaikutty, V Raghunathan arXiv preprint arXiv:2502.06921, 2025 | 1 | 2025 |
| Pruning activations and weights of neural networks with programmable thresholds SK Ghosh, S Kundu, A Raha, DA Mathaikutty US Patent App. 18/453,715, 2023 | 1 | 2023 |
| Dynamic uncompression for channel-separable operation in neural network A Raha, DA Mathaikutty, RJH Sung, UI Cheema, D Kondru, SK Ghosh US Patent App. 18/184,921, 2023 | 1 | 2023 |
| Energy efficient edge inference systems SK Ghosh Purdue University, 2023 | 1 | 2023 |
| Reducing power consumption of neural network accelerator through weight reordering S Kundu, A Das, A Raha, SK Ghosh, DA Mathaikutty US Patent App. 19/331,254, 2026 | | 2026 |
Arnab RahaSenior Research Scientist, NPU Advanced Architecture, Intel AIVerified email at intel.com
