Dr. Maximilian Bandle

Adresse: Technische Universität München
Institut für Informatik – Lehrstuhl XXV (I25)
Boltzmannstr. 3
85748 Garching
Raum: 02.11.040
Telefon: +49 (0)89 / 289-17263
E-Mail: bandle@in.tum.de
Bürozeit: Einfach vorbeischauen oder per Mail einen Termin ausmachen

Forschungsgebiete

Dissertation

Efficient Data Processing on Modern Hardware
Maximilian Bandle
Dissertation, Technische Universität München, 2024

Publikationen

OLAP on Modern Chiplet-Based Processors
Alessandro Fogli, Bo Zhao, Peter R. Pietzuch, Maximilian Bandle, Jana Giceva
VLDB 2024
Programming Fully Disaggregated Systems
Christoph Anneser, Lukas Vogel, Ferdinand Gruber, Maximilian Bandle, Jana Giceva
HotOS 2023
Bringing Compiling Databases to RISC Architectures
Ferdinand Gruber, Maximilian Bandle, Alexis Engelke, Thomas Neumann, Jana Giceva
VLDB 2023
Database Technology for the Masses: Sub-Operators as First Class Entities
Maximilian Bandle, Jana Giceva
VLDB 2021
A four-dimensional Analysis of Partitioned Approximate Filters
Tobias Schmidt*, Maximilian Bandle*, Jana Giceva
VLDB 2021
To partition, or not to partition, that is the join question in a real system (Honorable Mention)
Maximilian Bandle, Jana Giceva, Thomas Neumann
SIGMOD 2021 (Short Video)
Profiling Dataflow Systems on Multiple Abstraction Levels
Alexander Beischl, Timo Kersten, Maximilian Bandle, Jana Giceva, Thomas Neumann
EuroSys 2021 (Slides)
Adopting Worst-Case Optimal Joins in Relational Database Systems
Michael Freitag, Maximilian Bandle, Tobias Schmidt, Alfons Kemper, Thomas Neumann
VLDB 2020
Combining Worst-Case Optimal and Traditional Binary Join Processing
Michael Freitag, Maximilian Bandle, Tobias Schmidt, Alfons Kemper, Thomas Neumann
Technical Report TUM-I2082
Efficient Spatio-Textual Joins
Maximilian Bandle
Master Thesis, 2018
Opacity-Based Rendering of Lagrangian Particle Trajectories in Met.3D
Maximilian Bandle
Bachelor Thesis, 2016
Some results also published in IEEE Transactions on Visualization and Computer Graphics

Lehre

SS 2024: Einsatz und Realisierung von Datenbanksystemen
SS 2024: Think.Make.Start. #18
WS 2023/24: Think.Make.Start. #17
SS 2023: Einsatz und Realisierung von Datenbanksystemen
SS 2023: Think.Make.Start. #16
WS 2022/23: Think.Make.Start. #15
SS 2022: Einsatz und Realisierung von Datenbanksystemen
SS 2022: Think.Make.Start. #14
WS 2021/22: Think.Make.Start. #13
WS 2021/22: Think.Make.Start. #12
SS 2021: Einsatz und Realisierung von Datenbanksystemen
WS 2020/21: Think.Make.Start. #11
SS 2020: Einsatz und Realisierung von Datenbanksystemen
WS 2019/20: Think.Make.Start. #10
SS 2019: Think.Make.Start. #9
SS 2019: Einsatz und Realisierung von Datenbanksystemen
SS 2018: Think.Make.Start. #7
WS 2017/18: Think.Make.Start. #6
WS 2017/18: Einführung in die Rechnerarchitektur
 

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