I am a PhD student in the information systems group at JGU Mainz since Feb 2021.
 |
Office: Staudingerweg 9, room 03-225
E-Mail: henneberg@uni-mainz.de
Feel free to use MS Teams or email to contact me.
|
Research Interests
- Exploiting interesting properties in various parallel execution models
- Designing algorithms for hardware acceleration
- Applying insights from unrelated CS fields to databases
Teaching
Introduction to Programming Practical Course SS 2016 (with Markus Vieth and Steffen Eiden)
Introduction to Software Development SS 2020 (with Michael Wand and David Hartmann)
Advanced Python Practical Course SS 2020
Introduction to Software Development WS 2020/21 (with Michael Wand and David Hartmann)
Database Engineering SS 2021 (as part of the Information Systems Group)
Introduction to Software Development WS 2021/22 (as part of the Information Systems Group)
Introduction to Software Development SS 2022 (as part of the Information Systems Group)
Blockchains WS 2022/23 (as part of the Information Systems Group)
Introduction to Software Development SS 2023 (as part of the Information Systems Group)
Introduction to Software Development WS 2023/24 (as part of the Information Systems Group)
Data Structures and Efficient Algorithms WS 2024/25 (with Elmar Schömer)
Student Teaching Experience
Introduction to Programming (SS 2016, WS 2017/18)
Programming Languages (SS 2017, SS 2018, SS 2019)
Data Structures and Efficient Algorithms (WS 2019/20)
C++ Practical Course (SS 2018)
Publications (selection)
See my up-to-date publication list at DBLP
See the group's full list of publications
More Bang For Your Buck(et): Fast and Space-efficient Hardware-accelerated Coarse-granular Indexing on GPUs
submitted, 2024, see project page for preprint
RTIndeX: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing
VLDB 2024, August 2024, available here
Northlight: Declarative and Optimized Analysis of Atmospheric Datasets in SparkSQL
SSDBM 2022, July 2022, available here
Deep Embedding of Domain-Specific Languages in Distributed Dataflow Systems: A Case Study
Master Thesis, January 2021, main results published at SSDBM 2022
GPU-beschleunigte Schnittvolumenberechnung auf Dreiecksnetzen
Bachelor Thesis, September 2018, available here