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ORCIDMaximilian Bandle
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- affiliation: Technische Universität München, Garching, Germany
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2020 – today
- 2024
[b1]Maximilian Bandle:
Efficient Data Processing on Modern Hardware. Technical University of Munich, Germany, 2024- [j5]Alessandro Fogli, Bo Zhao, Peter R. Pietzuch, Maximilian Bandle, Jana Giceva:
OLAP on Modern Chiplet-Based Processors. Proc. VLDB Endow. 17(11): 3428-3441 (2024) - 2023
- [j4]Ferdinand Gruber, Maximilian Bandle, Alexis Engelke
, Thomas Neumann, Jana Giceva:
Bringing Compiling Databases to RISC Architectures. Proc. VLDB Endow. 16(6): 1222-1234 (2023) - [c4]Christoph Anneser, Lukas Vogel, Ferdinand Gruber, Maximilian Bandle, Jana Giceva:
Programming Fully Disaggregated Systems. HotOS 2023: 188-195 - [c3]Adrian Riedl, Philipp Fent, Maximilian Bandle, Thomas Neumann:
Exploiting Code Generation for Efficient LIKE Pattern Matching. VLDB Workshops 2023 - 2021
- [j3]Tobias Schmidt, Maximilian Bandle, Jana Giceva:
A four-dimensional Analysis of Partitioned Approximate Filters. Proc. VLDB Endow. 14(11): 2355-2368 (2021) - [j2]Maximilian Bandle, Jana Giceva:
Database Technology for the Masses: Sub-Operators as First-Class Entities. Proc. VLDB Endow. 14(11): 2483-2490 (2021) - [c2]Alexander Beischl, Timo Kersten, Maximilian Bandle, Jana Giceva, Thomas Neumann:
Profiling dataflow systems on multiple abstraction levels. EuroSys 2021: 474-489 - [c1]Maximilian Bandle, Jana Giceva, Thomas Neumann:
To Partition, or Not to Partition, That is the Join Question in a Real System. SIGMOD Conference 2021: 168-180 - 2020
- [j1]Michael J. Freitag, Maximilian Bandle, Tobias Schmidt, Alfons Kemper, Thomas Neumann:
Adopting Worst-Case Optimal Joins in Relational Database Systems. Proc. VLDB Endow. 13(11): 1891-1904 (2020)
Coauthor Index
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