Bachelor's and Master's Theses
(last updated January 18, 2022)
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, Atakan Aral
Programming Models, Languages and Concepts
· Programming of heterogeneous parallel systems
· Reactive programming, Actor-based programming
· Task-based programming
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
· Microservices (Amazon Lambda, ...)
· Scheduling Frameworks (Kubernetes, Mesos, ...)
Edge Intelligence / Edge Data Analytics
· Distribution of data analytics phases
· Partitioning and placement of machine learning workloads
· Deep neural network splitting
· Federated learning and model consistency
· Detection of anomalies and spatiotemporal correlations