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Martin Schulz is a full professor and the chair of Computer Architecture and Parallel Systems at the Technical University of Munich, where he has been a faculty member since 2017. He is also a member of the board of directors at the Leibniz Supercomputing Centre. Prior to his current role, he held various academic positions including at the Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory and at Cornell University. He earned his doctorate in Computer Science from the Technical University of Munich and has a Master of Science in Computer Science from the University of Illinois at Urbana-Champaign. His research interests span parallel distributed architectures, performance monitoring, modeling and analysis, memory system optimization, parallel programming paradigms, tool support for parallel programming, power-aware parallel computing, fault tolerance at the application and system level, and quantum computing with a special focus on high-performance computing integration. Professor Schulz has published over 250 peer-reviewed papers and is actively involved in the MPI Forum, the standardization body for the Message Passing Interface, which is a leading standard in high-performance computing.
Technical University of Munich • Munich, Germany
Leading research and teaching in computer architecture and parallel systems.
Leibniz Supercomputing Centre • Munich, Germany
Overseeing supercomputing resources and initiatives.
Lawrence Livermore National Laboratory • Livermore, CA, USA
Researching advanced computational methodologies in applied scientific computing.
Cornell University • Ithaca, NY, USA
Conducted research in parallel computing and architectures.