The following list is not exhaustive. There is always some student work to be done in various research projects. You can send an email (e.g. to Josef Weidendorfer or Dai Yang), asking for currently available topics.
Implementation and Evaluation of MLEM-Algorithm on GPU using CUDA
In a current project at our chair, we analyse modern HPC systems with heterogeneous architectures towards exascale computing. A central element in this project is to find a real-world problem-solving application, which is representative and stands for a class of typical HPC problems. As a good example we have chosen the maximum likelihood expectation maximization (MLEM) algorithm.
In this work, an efficient MELM Implementation on GPU is to be developed. To verify the efficiency, the GPU Implementation will be benchmarked against our parallel MLEM implementation on our HPC- Cluster.
Contact: Dai Yang (German or English)
Design and Implementation of a Benchmark for Predicting System Health in High Performance Computing
In a current project at our chair, we analyse modern High Performance Computing (HPC) systems with heterogeneous architectures towards exascale computing. A central element in this project is to find a reliable prediction method, which can determine the current system health state in a given HPC environment. Different methods are being evaluated by our research group currently. One of those is to run an efficient and fast benchmark in order to determine abnormality in system performance. Using such a benchmark and corresponding historical data, one is capable of predicting upcoming system faults, which may lead to a failure.
Contact: Dai Yang