| Snapshots for a non-volatile device N Talagala, S Sundararaman, S Subramanian US Patent 10,318,495, 2019 | 175 | 2019 |
| Generalized storage virtualization interface S Sundararaman, N Talagala, R Wipfel, S Subramanian, V Bolkhovitin US Patent 10,380,026, 2019 | 141 | 2019 |
| Time sequence data management N Talagala, S Sundararaman, S Subramanian, J Peterson, D Flynn US Patent 10,509,776, 2019 | 69 | 2019 |
| Systems, methods and interfaces for data virtualization S Sundararaman, N Talagala, S Subramanian US Patent 10,102,144, 2018 | 67 | 2018 |
| Membrane: Operating system support for restartable file systems S Sundararaman, S Subramanian, A Rajimwale, AC Arpaci-Dusseau, ... ACM Transactions on Storage (TOS) 6 (3), 1-30, 2010 | 57 | 2010 |
| {ANViL}: Advanced Virtualization for Modern {Non-Volatile} Memory Devices Z Weiss, S Subramanian, S Sundararaman, N Talagala, ... 13th USENIX Conference on File and Storage Technologies (FAST 15), 111-118, 2015 | 54 | 2015 |
| Handling snapshot information for a storage device JG Peterson, N Talagala, S Sundararaman, S Subramanian US Patent App. 13/831,448, 2014 | 54 | 2014 |
| Machine learning abstraction N Talagala, V Sridhar, S Sundararaman, S Ghanta, L Amar, L Khermosh, ... US Patent 11,748,653, 2023 | 51 | 2023 |
| Determining validity of machine learning algorithms for datasets S Ghanta, D Roselli, N Talagala, V Sridhar, S Sundararaman, L Amar, ... US Patent App. 16/049,647, 2020 | 49 | 2020 |
| Snapshots in a Flash with ioSnap S Subramanian, S Sundararaman, N Talagala, AC Arpaci-Dusseau, ... Proceedings of the Ninth European Conference on Computer Systems, 1-14, 2014 | 47 | 2014 |
| Ambry: Linkedin's scalable geo-distributed object store SA Noghabi, S Subramanian, P Narayanan, S Narayanan, G Holla, ... Proceedings of the 2016 International Conference on Management of Data, 253-265, 2016 | 43 | 2016 |
| Model governance: Reducing the anarchy of production {ML} V Sridhar, S Subramanian, D Arteaga, S Sundararaman, D Roselli, ... 2018 USENIX Annual Technical Conference (USENIX ATC 18), 351-358, 2018 | 42 | 2018 |
| Interpretability-based machine learning adjustment during production S Ghanta, D Roselli, N Talagala, V Sridhar, S Sundararaman, L Amar, ... US Patent App. 16/221,039, 2020 | 33 | 2020 |
| {ECO}: Harmonizing Edge and Cloud with {ML/DL} Orchestration N Talagala, S Sundararaman, V Sridhar, D Arteaga, Q Luo, ... USENIX Workshop on Hot Topics in Edge Computing (HotEdge 18), 2018 | 33 | 2018 |
| Systems and methods for atomic storage operations N Talagala, D Flynn, S Sundararaman, S Subramanian, D Nellans, ... US Patent 9,842,128, 2017 | 25 | 2017 |
| Detecting suitability of machine learning models for datasets S Ghanta, D Roselli, N Talagala, V Sridhar, S Sundararaman, L Amar, ... US Patent App. 16/001,904, 2019 | 20 | 2019 |
| Ml health: Fitness tracking for production models S Ghanta, S Subramanian, L Khermosh, S Sundararaman, H Shah, ... arXiv preprint arXiv:1902.02808, 2019 | 10 | 2019 |
| Dhananjoy Das, and Nisha Talagala S Ghanta, L Khermosh, S Subramanian, V Sridhar, S Sundararaman, ... A systems perspective to reproducibility in production machine learning …, 2018 | 8 | 2018 |
| Interpretability and reproducability in production machine learning applications S Ghanta, S Subramanian, S Sundararaman, L Khermosh, V Sridhar, ... 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 7 | 2018 |
| {MPP}: Model performance predictor S Ghanta, S Subramanian, L Khermosh, H Shah, Y Goldberg, ... 2019 USENIX Conference on Operational Machine Learning (OpML 19), 23-25, 2019 | 6 | 2019 |
