| Amazon sagemaker model parallelism: A general and flexible framework for large model training C Karakus, R Huilgol, F Wu, A Subramanian, C Daniel, D Cavdar, T Xu, ... arXiv preprint arXiv:2111.05972, 2021 | 28 | 2021 |
| Amazon sagemaker debugger: a system for real-time insights into machine learning model training N Rauschmayr, V Kumar, R Huilgol, A Olgiati, S Bhattacharjee, N Harish, ... Proceedings of Machine Learning and Systems 3, 770-782, 2021 | 28 | 2021 |
| Debugging and profiling of machine learning model training A Olgiati, LN Ramakrishnan, JJ Geevarghese, D Davydenko, V Kumar, ... US Patent 12,039,415, 2024 | 10 | 2024 |
| GPU code injection to summarize machine learning training data A Olgiati, RR Huilgol, V Kumar US Patent 11,468,365, 2022 | 4 | 2022 |
| A review of data mining in sports RR Huilgol, SS Chhabra IJCCTE, Issue-9, PP, 121-124, 2012 | 3 | 2012 |
| Automatic partitioning of machine learning models for training across multiple devices C Karakus, RR Huilgol, A Subramanian, F Wu, CC Daniel, A Mehra, ... US Patent 12,189,717, 2025 | | 2025 |
Simrat Singh ChhabraStudent, Computer Science and Engineering, IIT GuwahatiПодтвержден адрес электронной почты в домене iitg.ernet.in
