| Query processing on smart ssds: Opportunities and challenges J Do, YS Kee, JM Patel, C Park, K Park, DJ DeWitt Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 332 | 2013 |
| Rapid phosphoproteomic and transcriptomic changes in the rhizobia-legume symbiosis CM Rose, M Venkateshwaran, JD Volkening, PA Grimsrud, J Maeda, ... Molecular & Cellular Proteomics 11 (9), 724-744, 2012 | 122 | 2012 |
| Froid: Optimization of imperative programs in a relational database K Ramachandra, K Park, KV Emani, A Halverson, C Galindo-Legaria, ... Proceedings of the VLDB Endowment 11 (4), 432-444, 2017 | 95 | 2017 |
| 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 | 77 | 2019 |
| 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 | 47 | 2021 |
| 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 | 42 | 2020 |
| 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 | 38 | 2022 |
| 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 | 36 | 2019 |
| 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 | 29 | 2022 |
| 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 | 20 | 2019 |
| Query Processing on Smart SSDs. K Park, YS Kee, JM Patel, J Do, C Park, DJ Dewitt IEEE Data Eng. Bull. 37 (2), 19-26, 2014 | 20 | 2014 |
| Method for optimization of imperative code executing inside a relational database engine KS Ramachandra, K Park, AD Halverson, CJ Cunningham, ... US Patent 10,515,075, 2019 | 19 | 2019 |
| Blackmagic: Automatic inlining of scalar udfs into sql queries with froid K Ramachandra, K Park Proceedings of the VLDB Endowment 12 (12), 1810-1813, 2019 | 14 | 2019 |
| {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 | 12 | 2022 |
| FPGA for aggregate processing: The good, the bad, and the ugly ZF Eryilmaz, A Kakaraparthy, JM Patel, R Sen, K Park 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1044-1055, 2021 | 12 | 2021 |
| Optimizing databases by learning hidden parameters of solid state drives A Kakaraparthy, JM Patel, K Park, BP Kroth Proceedings of the VLDB Endowment 13 (4), 519-532, 2019 | 12 | 2019 |
| Query Processing with Machine Learning K Karanasos, M Interlandi, F Psallidas, R Sen, K Park, I Popivanov, ... US Patent App. 16/990,506, 2021 | 6 | 2021 |
| Automatic recovery of application cache warmth N Teletia, JY Do, K Park, JM Patel US Patent 9,684,607, 2017 | 6 | 2017 |
| VIP hashing: adapting to skew in popularity of data on the fly A Kakaraparthy, JM Patel, BP Kroth, K Park Proceedings of the VLDB Endowment 15 (10), 1978-1990, 2022 | 5 | 2022 |
| Hardware acceleration for DBMS machine learning scoring: Is it worth the overheads? Z Azad, R Sen, K Park, A Joshi 2021 IEEE International Symposium on Performance Analysis of Systems and …, 2021 | 4 | 2021 |
