| How good are query optimizers, really? V Leis, A Gubichev, A Mirchev, P Boncz, A Kemper, T Neumann Proceedings of the VLDB Endowment 9 (3), 204-215, 2015 | 728 | 2015 |
| The adaptive radix tree: ARTful indexing for main-memory databases V Leis, A Kemper, T Neumann 2013 IEEE 29th International Conference on Data Engineering (ICDE), 38-49, 2013 | 545 | 2013 |
| Learned cardinalities: Estimating correlated joins with deep learning A Kipf, T Kipf, B Radke, V Leis, P Boncz, A Kemper CIDR, 2019 | 428 | 2019 |
| Morsel-driven parallelism: a NUMA-aware query evaluation framework for the many-core age V Leis, P Boncz, A Kemper, T Neumann Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 360 | 2014 |
| Query optimization through the looking glass, and what we found running the join order benchmark V Leis, B Radke, A Gubichev, A Mirchev, P Boncz, A Kemper, T Neumann The VLDB Journal 27, 643-668, 2018 | 168 | 2018 |
| Cardinality Estimation Done Right: Index-Based Join Sampling. V Leis, B Radke, A Gubichev, A Kemper, T Neumann CIDR, 2017 | 164 | 2017 |
| Surf: Practical range query filtering with fast succinct tries H Zhang, H Lim, V Leis, DG Andersen, M Kaminsky, K Keeton, A Pavlo Proceedings of the 2018 International Conference on Management of Data, 323-336, 2018 | 156 | 2018 |
| Everything you always wanted to know about compiled and vectorized queries but were afraid to ask T Kersten, V Leis, A Kemper, T Neumann, A Pavlo, P Boncz Proceedings of the VLDB Endowment 11 (13), 2209-2222, 2018 | 155 | 2018 |
| Managing non-volatile memory in database systems A van Renen, V Leis, A Kemper, T Neumann, T Hashida, K Oe, Y Doi, ... Proceedings of the 2018 International Conference on Management of Data, 1541 …, 2018 | 142 | 2018 |
| Exploiting hardware transactional memory in main-memory databases V Leis, A Kemper, T Neumann 2014 IEEE 30th International Conference on Data Engineering, 580-591, 2014 | 139 | 2014 |
| The ART of practical synchronization V Leis, F Scheibner, A Kemper, T Neumann Proceedings of the 12th International Workshop on Data Management on New …, 2016 | 132 | 2016 |
| Building a bw-tree takes more than just buzz words Z Wang, A Pavlo, H Lim, V Leis, H Zhang, M Kaminsky, DG Andersen Proceedings of the 2018 International Conference on Management of Data, 473-488, 2018 | 125 | 2018 |
| LeanStore: In-memory data management beyond main memory V Leis, M Haubenschild, A Kemper, T Neumann 2018 IEEE 34th International Conference on Data Engineering (ICDE), 185-196, 2018 | 122 | 2018 |
| HOT: A height optimized trie index for main-memory database systems R Binna, E Zangerle, M Pichl, G Specht, V Leis Proceedings of the 2018 International Conference on Management of Data, 521-534, 2018 | 117 | 2018 |
| Persistent memory I/O primitives A Van Renen, L Vogel, V Leis, T Neumann, A Kemper Proceedings of the 15th International Workshop on Data Management on New …, 2019 | 113 | 2019 |
| Adaptive execution of compiled queries A Kohn, V Leis, T Neumann 2018 IEEE 34th International Conference on Data Engineering (ICDE), 197-208, 2018 | 89 | 2018 |
| Get real: How benchmarks fail to represent the real world A Vogelsgesang, M Haubenschild, J Finis, A Kemper, V Leis, ... Proceedings of the Workshop on Testing Database Systems, 1-6, 2018 | 87 | 2018 |
| Massively parallel NUMA-aware hash joins H Lang, V Leis, MC Albutiu, T Neumann, A Kemper In Memory Data Management and Analysis: First and Second International …, 2015 | 75 | 2015 |
| Compiling Database Queries into Machine Code. T Neumann, V Leis IEEE Data Eng. Bull. 37 (1), 3-11, 2014 | 63 | 2014 |
| Tidy Tuples and Flying Start: fast compilation and fast execution of relational queries in Umbra T Kersten, V Leis, T Neumann The VLDB Journal 30, 883-905, 2021 | 60 | 2021 |
Thomas NeumannProfessor, Technische Universität München在 in.tum.de 的电子邮件经过验证
