| Slow and stale gradients can win the race: Error-runtime trade-offs in distributed SGD S Dutta, G Joshi, S Ghosh, P Dube, P Nagpurkar International conference on artificial intelligence and statistics, 803-812, 2018 | 204 | 2018 |
| Adaptive, model-driven autoscaling for cloud applications A Gandhi, P Dube, A Karve, A Kochut, L Zhang 11th International Conference on Autonomic Computing (ICAC 14), 57-64, 2014 | 179 | 2014 |
| Modelops: Cloud-based lifecycle management for reliable and trusted ai W Hummer, V Muthusamy, T Rausch, P Dube, K El Maghraoui, A Murthi, ... 2019 IEEE International Conference on Cloud Engineering (IC2E), 113-120, 2019 | 142 | 2019 |
| Database analytics acceleration using FPGAs B Sukhwani, H Min, M Thoennes, P Dube, B Iyer, B Brezzo, ... Proceedings of the 21st international conference on Parallel architectures …, 2012 | 132 | 2012 |
| Accelerating join operation for relational databases with FPGAs RJ Halstead, B Sukhwani, H Min, M Thoennes, P Dube, S Asaad, B Iyer 2013 IEEE 21st Annual International Symposium on Field-Programmable Custom …, 2013 | 81 | 2013 |
| Scaling a cloud infrastructure P Dube, A Gandhi, A Karve, A Kochut, L Zhang US Patent 9,300,552, 2016 | 72 | 2016 |
| Method and system for user guided search navigation P Dube, R Jain, R Kannan, K Subbian US Patent 8,745,039, 2014 | 65 | 2014 |
| Detection of data drift and outliers affecting machine learning model performance over time S Ackerman, E Farchi, O Raz, M Zalmanovici, P Dube arXiv preprint arXiv:2012.09258, 2020 | 59 | 2020 |
| IBM deep learning service B Bhattacharjee, S Boag, C Doshi, P Dube, B Herta, V Ishakian, ... IBM Journal of Research and Development 61 (4/5), 10: 1-10: 11, 2017 | 57 | 2017 |
| Identifying transfer models for machine learning tasks P Watson, B Bhattacharjee, NC Codella, BM Belgodere, P Dube, ... US Patent App. 15/982,622, 2019 | 56 | 2019 |
| Scalability of the Nutch search engine JE Moreira, MM Michael, D Da Silva, D Shiloach, P Dube, L Zhang Proceedings of the 21st annual international conference on Supercomputing, 3-12, 2007 | 55 | 2007 |
| Data-aware workload scheduling and execution in heterogeneous environments P Dube, L Zhang US Patent 9,513,967, 2016 | 52 | 2016 |
| Yield management for IT resources on demand: analysis and validation of a new paradigm for managing computing centres P Dube, Y Hayel, L Wynter Journal of Revenue and Pricing Management 4, 24-38, 2005 | 52 | 2005 |
| Method and apparatus for economic exploitation of waiting time of customers at call centers, contact centers or into interactive voice response (IVR) systems P Dube, L Wynter US Patent 9,767,473, 2017 | 51 | 2017 |
| Modeling the impact of workload on cloud resource scaling A Gandhi, P Dube, A Karve, A Kochut, L Zhang 2014 IEEE 26th International Symposium on Computer Architecture and High …, 2014 | 49 | 2014 |
| Scaling a cloud infrastructure P Dube, A Gandhi, A Karve, A Kochut, L Zhang US Patent 9,916,135, 2018 | 48 | 2018 |
| Exploiting resource usage patterns for better utilization prediction J Tan, P Dube, X Meng, L Zhang 2011 31st International Conference on Distributed Computing Systems …, 2011 | 48 | 2011 |
| Differential join prices for parallel queues: Social optimality, dynamic pricing algorithms and application to internet pricing P Dube, VS Borkar, D Manjunath Proceedings. Twenty-First Annual Joint Conference of the IEEE Computer and …, 2002 | 48 | 2002 |
| Transformation of data centers to manage pollution SK Chen, P Dube, SS Gonella, G Grabarnik, J Lee, JS Yih US Patent App. 12/565,349, 2011 | 47 | 2011 |
| Adversarial training in communication constrained federated learning D Shah, P Dube, S Chakraborty, A Verma arXiv preprint arXiv:2103.01319, 2021 | 45 | 2021 |
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