Michael Resch

Prof. Dr.-Ing. Michael Resch has been Director of the High-Performance Computing Center Stuttgart (HLRS) and Institute for High-Performance Computing (IHR) since 2003. During his tenure he has led HLRS's growth as a provider of resources and solutions for high-performance computing and related technologies, including numerous initiatives to make high-performance computing more accessible for scientific research, industrial R&D, and applications to address societal challenges.

Under Prof. Resch's leadership, HLRS co-founded SICOS-BW, the Automotive Solution Center for Simulation e.V., and the Media Solution Center Baden-Württemberg to facilitate the wider adoption of high-performance computing technologies in industry. He is also a principal investigator in the University of Stuttgart's Cluster of Excellence "Data-Integrated Simulation Science (SimTech)."

Outside his activities at HLRS and IHR, Prof. Resch holds numerous positions on advisory boards in organizations active in high-performance computing and in the cultural sector.

In 2012 Prof. Resch received a Visionary Thinker Award (Übermorgenmacherpreis) from the State of Baden-Württemberg. His leadership at HLRS and scientific achievements have also been recognized through an HPCWire Readers' and Editors' Choice Award for Best Use of HPC in Automotive, an HPCWire Readers' Choice Award for Best Use of HPC Applications in Manufacturing, and a National Science Foundation (USA) Award for Real Distributed Computing, among many others. He also holds honorary doctoral degrees from Donetsk National Technical University and Russian Academy of Sciences (Siberian branch).

Originally from Graz, Austria, Prof. Resch completed his Dr.-Ing. (PhD) with honors in engineering at the University of Stuttgart, focusing on metacomputing for simulation applications. Before becoming director of HLRS, he was an assistant professor in the Department of Computer Science at the University of Houston, Texas, USA.

Prof. Resch lectures regularly on topics concerning the state of the art in supercomputing, and has delivered many invited and keynote talks at academic and professional conferences, as well as events aimed at improving public understanding of simulation. His scientific interests include supercomputing, digital convergence, the theory of simulation sciences, and the use of simulation in art, as well as technical fields including cloud/grid computing/distributed systems, programming models for parallel compuing, and the numerical simulation of flow phenomena, including medical simulation.