You are welcome to listen to the public lecture in the framework of the collaboration agreement between TalTech Schools of Engineering and Information Technologies with High-Performance Computing Center Stuttgart (HLRS), Germany. The lecture will be held by Prof. Michael Resch. The lecture can also be watched live.
The Potential of HPC and AI in Science and Beyond
High Performance Computing (HPC) has long been a merely scientific instrument to push the limits of research. Over the last two decades it has become a tool to help solve problems in a wide field of areas. In this talk we will first explore where we stand in HPC. The end of Moore’s law is a threat to HPC. Artificial Intelligence (AI) could act as a booster. What will be possible when AI and HPC come together will be highlighted by some real-world examples.
Prof. 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.
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.
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 computing, and the numerical simulation of flow phenomena, including medical simulation.