| 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 | 136 | 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 | 94 | 2018 |
| Exploiting Directly-Attached NVMe Arrays in DBMS. G Haas, M Haubenschild, V Leis CIDR, 2020 | 60 | 2020 |
| Optimistic Lock Coupling: A Scalable and Efficient General-Purpose Synchronization Method. V Leis, M Haubenschild, T Neumann IEEE Data Eng. Bull. 42 (1), 73-84, 2019 | 53 | 2019 |
| Rethinking logging, checkpoints, and recovery for high-performance storage engines M Haubenschild, C Sauer, T Neumann, V Leis Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 44 | 2020 |
| The Evolution of LeanStore A Alhomssi, M Haubenschild, V Leis BTW 2023, 2023 | 12 | 2023 |
| In-memory graph analytics system that allows memory and performance trade-off between graph mutation and graph traversal M Haubenschild, S Hong, H Chafi, K Schmid, M Sevenich, A Weld US Patent 10,235,474, 2019 | 12 | 2019 |
| ASGraph: a mutable multi-versioned graph container with high analytical performance M Haubenschild, M Then, S Hong, H Chafi Proceedings of the Fourth International Workshop on Graph Data Management …, 2016 | 9 | 2016 |
| Elimination of query fragment duplication in complex database queries A Vogelsgesang, M Haubenschild, RL Cole, J Finis, M Then, ... US Patent 11,475,005, 2022 | 2 | 2022 |
| Optimistic Lock Coupling: A Scalable and Efficient General-Purpose Synchronization Method. IEEE Data Eng. Bull. 42, 1 (2019) V Leis, M Haubenschild, T Neumann | 2 | 2019 |
| Lock-Free Buffer Managers Do Not Require Delayed Memory Reclamation M Haubenschild, V Leis Proceedings of the 1st Workshop on Simplicity in Management of Data, 1-3, 2023 | 1 | 2023 |
| In-memory graph analytics system that allows memory and performance trade-off between graph mutation and graph traversal M Haubenschild, S Hong, H Chafi, K Schmid, M Sevenich, A Weld US Patent 11,068,538, 2021 | | 2021 |
| Elimination of query fragment duplication in complex database queries A Vogelsgesang, M Haubenschild, RL Cole, J Finis, M Then, ... US Patent 10,795,888, 2020 | | 2020 |
| Project Report TUMcloud TNK Eisenhut, S Froschmeir, F Güra, M Haubenschild, J Herrmann, ... | | |
Viktor LeisTechnische Universität MünchenVerified email at in.tum.de
