| The gem5 simulator N Binkert, B Beckmann, G Black, SK Reinhardt, A Saidi, A Basu, ... ACM SIGARCH computer architecture news 39 (2), 1-7, 2011 | 6319 | 2011 |
| Extending relational query processing with ML inference K Karanasos, M Interlandi, D Xin, F Psallidas, R Sen, K Park, I Popivanov, ... arXiv preprint arXiv:1911.00231, 2019 | 89 | 2019 |
| WCET estimation for executables in the presence of data caches R Sen, YN Srikant Proceedings of the 7th ACM & IEEE international conference on Embedded …, 2007 | 77 | 2007 |
| Reuse-based online models for caches R Sen, DA Wood Proceedings of the ACM SIGMETRICS/international conference on Measurement …, 2013 | 76 | 2013 |
| The storage hierarchy is not a hierarchy: Optimizing caching on modern storage devices with orthus K Wu, Z Guo, G Hu, K Tu, R Alagappan, R Sen, K Park, ... 19th USENIX Conference on File and Storage Technologies (FAST 21), 307-323, 2021 | 61 | 2021 |
| Sound and efficient WCET analysis in the presence of timing anomalies J Reineke, R Sen 9th International Workshop on Worst-Case Execution Time Analysis (WCET'09 …, 2009 | 51 | 2009 |
| Executable analysis using abstract interpretation with circular linear progressions R Sen, YN Srikant 2007 5th IEEE/ACM International Conference on Formal Methods and Models for …, 2007 | 50* | 2007 |
| End-to-end optimization of machine learning prediction queries K Park, K Saur, D Banda, R Sen, M Interlandi, K Karanasos Proceedings of the 2022 International Conference on Management of Data, 587-601, 2022 | 47 | 2022 |
| Query processing on tensor computation runtimes D He, S Nakandala, D Banda, R Sen, K Saur, K Park, C Curino, ... arXiv preprint arXiv:2203.01877, 2022 | 45 | 2022 |
| Lessons learned from the early performance evaluation of Intel optane DC persistent memory in DBMS Y Wu, K Park, R Sen, B Kroth, J Do Proceedings of the 16th International Workshop on Data Management on New …, 2020 | 45 | 2020 |
| Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML A Agrawal, R Chatterjee, C Curino, A Floratou, N Gowdal, M Interlandi, ... arXiv preprint arXiv:1909.00084, 2019 | 43 | 2019 |
| Peregrine: Workload optimization for cloud query engines A Jindal, H Patel, A Roy, S Qiao, Z Yin, R Sen, S Krishnan Proceedings of the ACM Symposium on Cloud Computing, 416-427, 2019 | 34 | 2019 |
| Microlearner: A fine-grained learning optimizer for big data workloads at microsoft A Jindal, S Qiao, R Sen, H Patel 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2423-2434, 2021 | 26 | 2021 |
| Autotoken: Predicting peak parallelism for big data analytics at microsoft R Sen, A Jindal, H Patel, S Qiao Proceedings of the VLDB Endowment 13 (12), 3326-3339, 2020 | 25 | 2020 |
| Exploiting intel optane ssd for microsoft sql server K Wu, A Arpaci-Dusseau, R Arpaci-Dusseau, R Sen, K Park Proceedings of the 15th International Workshop on Data Management on New …, 2019 | 23 | 2019 |
| Energy-Proportional Computing: A New Definition R Sen, DA Wood Computer 50 (8), 26-33, 2017 | 23 | 2017 |
| {NyxCache}: Flexible and efficient multi-tenant persistent memory caching K Wu, K Tu, Y Patel, R Sen, K Park, A Arpaci-Dusseau, R Arpaci-Dusseau 20th USENIX Conference on File and Storage Technologies (FAST 22), 1-16, 2022 | 19 | 2022 |
| Characterizing Resource Sensitivity of Database Workloads R Sen, K Ramachandra IEEE International Symposium on High Performance Computer Architecture, 657-669, 2018 | 19 | 2018 |
| Pareto Governors for Energy-Optimal Computing R Sen, DA Wood ACM Transactions on Architecture and Code Optimization (TACO) 14 (1), 6:1-6:25, 2017 | 19 | 2017 |
| Optimal resource allocation for serverless queries A Pimpley, S Li, A Srivastava, V Rohra, Y Zhu, S Srinivasan, A Jindal, ... arXiv preprint arXiv:2107.08594, 2021 | 18 | 2021 |
David A. WoodUniversity of Wisconsin, MadisonVerificeret mail på cs.wisc.edu
