| RadixSpline: a single-pass learned index A Kipf, R Marcus, A van Renen, M Stoian, A Kemper, T Kraska, ... Proceedings of the third international workshop on exploiting artificial …, 2020 | 118 | 2020 |
| 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 | 113 | 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 | 95 | 2019 |
| Benchmarking learned indexes R Marcus, A Kipf, A van Renen, M Stoian, S Misra, A Kemper, T Neumann, ... arXiv preprint arXiv:2006.12804, 2020 | 93 | 2020 |
| SOSD: A benchmark for learned indexes A Kipf, R Marcus, A van Renen, M Stoian, A Kemper, T Kraska, ... arXiv preprint arXiv:1911.13014, 2019 | 61 | 2019 |
| The case for learned spatial indexes V Pandey, A van Renen, A Kipf, I Sabek, J Ding, A Kemper arXiv preprint arXiv:2008.10349, 2020 | 36 | 2020 |
| Veritas: Shared verifiable databases and tables in the cloud L Allen, P Antonopoulos, A Arasu, J Gehrke, J Hammer, J Hunter, ... 9th Biennial Conference on Innovative Data Systems Research (CIDR), 1-9, 2019 | 33 | 2019 |
| Low-latency communication for fast DBMS using RDMA and shared memory P Fent, A van Renen, A Kipf, V Leis, T Neumann, A Kemper 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1477-1488, 2020 | 26 | 2020 |
| Building blocks for persistent memory: How to get the most out of your new memory? A van Renen, L Vogel, V Leis, T Neumann, A Kemper The VLDB Journal 29 (6), 1223-1241, 2020 | 24 | 2020 |
| Veritas: Shared Verifiable Databases and Tables in the Cloud. J Gehrke, L Allen, P Antonopoulos, A Arasu, J Hammer, J Hunter, ... CIDR, 2019 | 21 | 2019 |
| Mosaic: a budget-conscious storage engine for relational database systems L Vogel, V Leis, A van Renen, T Neumann, S Imamura, A Kemper Proceedings of the VLDB Endowment 13 (12), 2662-2675, 2020 | 15 | 2020 |
| Data management on non-volatile memory: a perspective P Götze, A van Renen, L Lersch, V Leis, I Oukid Datenbank-Spektrum 18, 171-182, 2018 | 13 | 2018 |
| How good are modern spatial libraries? V Pandey, A van Renen, A Kipf, A Kemper Data Science and Engineering 6, 192-208, 2021 | 12 | 2021 |
| Plush: a write-optimized persistent log-structured hash-table L Vogel, A van Renen, S Imamura, J Giceva, T Neumann, A Kemper Proceedings of the VLDB Endowment 15 (11), 2895-2907, 2022 | 5 | 2022 |
| FastVer: making data integrity a commodity A Arasu, B Chandramouli, J Gehrke, E Ghosh, D Kossmann, J Protzenko, ... Proceedings of the 2021 International Conference on Management of Data, 89-101, 2021 | 5 | 2021 |
| Persistent Memory I A Van Renen, L Vogel, V Leis, T Neumann, A Kemper O Primitives, Jun, 2019 | 5 | 2019 |
| SageDB: An Instance-Optimized Data Analytics System J Ding, R Marcus, A Kipf, V Nathan, A Nrusimha, K Vaidya, A van Renen, ... Proceedings of the VLDB Endowment 15 (13), 4062-4078, 2022 | 2 | 2022 |
| Flow-Loss: Learning Cardinality Estimates That Matter R Marcus, A Kipf, A van Renen, M Stoia, S Misra, A Kemper, T Neumann, ... Proceedings of the VLDB Endowment 14 (11), 2021 | 2 | 2021 |
| An evaluation of modern spatial libraries V Pandey, A van Renen, A Kipf, A Kemper Database Systems for Advanced Applications: 25th International Conference …, 2020 | 2 | 2020 |
| Cloud Analytics Benchmark A van Renen, V Leis Proceedings of the VLDB Endowment 16 (6), 1413-1425, 2023 | 1 | 2023 |
Thomas NeumannProfessor, Technische Universität MünchenVerified email at in.tum.de
