Presenter

Jan Laukemann is a PhD student at the University of Erlangen-Nürnberg (FAU) Erlangen and works for the Erlangen National High Performance Computing Center (NHR@FAU). He completed his master’s degree at FAU and worked as a research scientist at Intel Parallel Computing Labs (Intel PCL). He focuses on application optimization and performance engineering for HPC systems and novel algorithms for scalable linear algebra, tensor decomposition and graph computations. His research interests primarily include x86 and non-x86 computer architectures, their performance behavior on the node level, and vectorization techniques. He is the main developer of the Open Source Architecture Code Analyzer (OSACA), a static in-core kernel analysis tool, and is part of the organization committee of the annual HPC-AI Advisory Council Student Cluster Competition at ISC High Performance.