Bachelor's and Master's Theses, P1 and P2
(currently under revision; latest update July 29, 2025)
We offer a range of thesis topics in the areas of Parallel and Distributed Computing. The concrete scope of a thesis can be defined on an individual basis.
In case of interest please contact us by email: Siegfried Benkner, Eduard Mehofer, Enes Bajrovic, Atakan Aral
Programming Models, Languages and Concepts
- Programming of heterogeneous parallel systems
- Scientific codes and GPUs with oneAPI/DPC++/SYCL
- Accelerating scientific codes with modern vector units (vector processors and CPU/SIMD mode)
- Mojo (Python Programming Language for AI)
Cloud Computing
- Serverless Computing
- Scheduling Frameworks (Kubernetes, Mesos, ...)
- HPC in the Cloud
Edge Computing and Edge AI
- Distributed AI/ML Applications, Federated Learning
- IoT-Driven Monitoring Systems
- Neuromorphic Computing in Edge Devices
- Sustainable and Reliable Edge Computing
- Hardware for Edge AI (Raspberry Pi, Jetson Nano, Google Coral, Neuromorphic Chips)
Parallel Computing
- Parallelization of symbolic timing analysis of digital circuits using analytical delay derivations
- Parallel neuromorphic computing
- Scaling SAT-based verification to distributed computing protocols
Interdisciplinary Master Thesis Opportunity: Development of Landsifier Library – Version 3