Lectures:
- Big Data Lab (Master, Winter 2023/24)
- Big Data Systems (Master, Winter 2020/21, 2021/22)
- Database Systems I (Bachelor, Summer 2020)
- Hardware-conscious Data Processing (Master, Summer 2022, 2023, 2024)
Projects/Seminars:
Master & Bachelor Projects:
- Tracking Carbon: Multi-Tier Analysis of Compute Job Emissions in Datacenters (Bachelor Project, 2023/24)
- Model Lifecycle Analysis Platform (Master Project, Summer 2022)
- End-to-end ML System Benchmarking (Bachelor Project, 2020/21)
Thesis Supervision:
If you are interested in writing your thesis with me, have a look at the open theses page for some ideas and guidelines. If you have an interesting idea that you want to work on, feel free to drop me a line.
Completed Theses:
- Squirrel: A Carbon-Aware HPC Scheduler utilizing Spatiotemporal Workload Shifting, Luca Springer, Master Thesis, ongoing
- Efficiently Joining Large Relations on Multi-GPU Systems with Modern Interconnects, Tobias Maltenberger, Master Thesis, 2024
- RMG Sort: Radix-Partitioning-Based Multi-GPU Sort, Ivan Ilic, Master Thesis, 2022
- Model Management in Distributed Environments, Nils Straßenburg, Master Thesis, 2021
- Benchmarking Distributed Machine Learning Systems, Willi Rieck, Bachelor Thesis, 2021
- Benchmarking Containerized Machine Learning Pipelines, Jost Morgenstern, Bachelor Thesis, 2021
- Real-Time Benchmarking, Jonas Schulze, Bachelor Thesis, 2021
- UI Designs for Benchmarking Systems, Christian Jacob, Bachelor Thesis, 2021