Follow
Soumendu Kumar Ghosh
Soumendu Kumar Ghosh
Deep Learning HW Engineer, Advanced Architecture Research, Intel Client AI
Verified email at intel.com
Title
Cited by
Cited by
Year
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
192014
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
132020
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
82021
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
32023
Energy-efficient approximate edge inference systems
SK Ghosh, A Raha, V Raghunathan
ACM Transactions on Embedded Computing Systems 22 (4), 1-50, 2023
32023
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
32011
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
22017
CEEDS: a cost effective event detection system for energy efficient railway bridge monitoring with wireless sensor network
SK Ghosh, S Maroju, R Datta, PK Biswas
EAI Endorsed Transactions on Future Internet 3 (8), 2016
22016
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
12024
FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices
A Raha, DA Mathaikutty, SK Ghosh, S Kundu
arXiv preprint arXiv:2403.09026, 2024
2024
Towards Energy-Efficient Collaborative Inference Using Multi-System Approximations
A Das, SK Ghosh, A Raha, V Raghunathan
IEEE Internet of Things Journal, 2024
2024
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
2023
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
2023
ENERGY EFFICIENT EDGE INFERENCE SYSTEMS
SK Ghosh
Purdue University Graduate School, 2023
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
2023
Characterization of novel molybdenum disulfide and cerium dioxide reinforced hybrid aluminum matrix composites fabricated by friction stir processing
P Maji, SK Ghosh, RK Nath, P Paul, RKB Meitei
Materialwissenschaft und Werkstofftechnik 53 (6), 705-722, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–16