Aaron Küsters

RWTH Aachen University, Institute for Process and Data Science

Contact

RWTH Aachen
Process and Data Science
Ahornstraße 55
52074 Aachen

Biography

Aaron holds a bachelor’s and masters’s degree in computer science from the RWTh Aachen University. Since 2024 he is pursuing an PhD in the PADS (Process and Data Science) research group of the RWTH Aachen University. In December 2024, he joined NHR4CES as part of the CSG Data Science and Machine Learning group.

Thematic Advice

Through the lens of process mining, the scientific workflows running on HPC clusters can be analyzed by recording relevant execution data and applying techniques to better understand the underlying processes. There are multiple perspectives that one could take for analyzing this data, for instance focusing on the lifecycle of jobs submitted to the HPC system, or, instead, the human (i.e., user account) that submits or modifies these jobs. Apart from the purely analytical view, an other intriguing topic is improving the process of users programming, submitting and tracking HPC jobs, for example making parallelization opportunities more easily usable or decreasing the likelihood of submitting failing workflow jobs.