Bachelorarbeiten

Masterarbeiten zu Computing

Thema:GPU support for the Grid
Zusammenfassung: GPUs play an increasingly important role in High Energy Physics (HEP). Therefore, KIT provides GPUs accessible to various HEP collaborations via the distributed computing infrastructure, the so-called Grid. Currently, there are only initial concepts. You would contribute to implementing the GPU support in the Grid on a collaboration-wide scale. It can be complementary to the PhD or MSc thesis.
Sie lernen kennen:Batch System HTCondor, GPU usage, Grid infrastructure
Referent:Prof. Dr. Torben Ferber
Ansprechpartner:Dr. Matthias Schnepf
Letzte Änderung:23.01.2023
Thema:Reinforcement Learning for Dynamic Resource Management
Zusammenfassung: KIT develops concepts and software to integrate opportunistic computing resources transparently. The decision of how many resources of which type has to be provided for efficient usage is complex. Reinforcement learning, where an artificial neural network learns itself, can increase resource efficiency and reduce resource specific parameter tuning. The implementation and study of reinforcement learning can complement the PhD or MSc thesis.
Sie lernen kennen:Batch System HTCondor, bash, python, machine learning, Grid infrastructure
Referent:Prof. Dr. Torben Ferber
Ansprechpartner:Dr. Matthias Schnepf
Letzte Änderung:23.01.2023