Adopting worst-case optimal joins in relational database systems M Freitag, M Bandle, T Schmidt, A Kemper, T Neumann Proceedings of the VLDB Endowment 13 (12), 1891-1904, 2020 | 92 | 2020 |
To Partition, or Not to Partition, That is the Join Question in a Real System M Bandle, J Giceva, T Neumann Proceedings of the 2021 International Conference on Management of Data, 168-180, 2021 | 56 | 2021 |
Database technology for the masses: sub-operators as first-class entities M Bandle, J Giceva Proceedings of the VLDB Endowment 14 (11), 2483-2490, 2021 | 15 | 2021 |
Profiling dataflow systems on multiple abstraction levels A Beischl, T Kersten, M Bandle, J Giceva, T Neumann Proceedings of the Sixteenth European Conference on Computer Systems, 474-489, 2021 | 13 | 2021 |
Bringing Compiling Databases to RISC Architectures F Gruber, M Bandle, A Engelke, T Neumann, J Giceva Proceedings of the VLDB Endowment 16 (6), 1222-1234, 2023 | 11 | 2023 |
Combining worst-case optimal and traditional binary join processing M Freitag, M Bandle, T Schmidt, A Kemper, T Neumann | 7 | 2020 |
Programming Fully Disaggregated Systems C Anneser, L Vogel, F Gruber, M Bandle, J Giceva Proceedings of the 19th Workshop on Hot Topics in Operating Systems, 188-195, 2023 | 6 | 2023 |
A four-dimensional analysis of partitioned approximate filters T Schmidt, M Bandle, J Giceva Proceedings of the VLDB Endowment 14 (11), 2355-2368, 2021 | 4 | 2021 |
Exploiting Code Generation for Efficient LIKE Pattern Matching. A Riedl, P Fent, M Bandle, T Neumann VLDB Workshops, 2023 | 2 | 2023 |
OLAP on Modern Chiplet-Based Processors A Fogli, B Zhao, P Pietzuch, M Bandle, J Giceva Proceedings of the VLDB Endowment 17 (11), 3428-3441, 2024 | | 2024 |
Efficient Data Processing on Modern Hardware M Bandle Technische Universität München, 2024 | | 2024 |