Bachelor's and Master's Theses, P1 and P2
(last update February 5, 2024)
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)
Frameworks for AI/ML
· Kubeflow - The Machine Learning Toolkit for Kubernetes
· Apache Airflow, MLflow
· Portability and Scalability for AI/ML Tools
Cloud Computing/ IoT / Edge Computing
· Big Data Frameworks (Java Cloud Dataflow SDK, Apache Spark/Beam/Kafka)
· Serverless Computing
· Scheduling Frameworks (Kubernetes, Mesos, ...)
Edge Computing and Edge AI
· Distributed AI/ML Applications, Federated Learning
· IoT-Driven Monitoring Systems
· Learning from Environmental Data (see https://swain-project.eu/)
· Implementing an Edge AI Test Bed (Raspberry Pi, Jetson Nano, Google Coral)
· Energy-Efficient / Reliable Edge Computing