Martin Schulz

Computer Scientist, Center for Applied Scientific Computing
Lawrence Livermore National Laboratory

Lawrence Livermore National Laboratory
Box 808, L-560
Livermore, CA 94551-0808


Martin is a Computer Scientist at the Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL). He earned his Doctorate in Computer Science in 2001 from the Technische Universität München (Munich, Germany). He also holds a Master of Science in Computer Science from the University of Illinois at Urbana Champaign. After completing his graduate studies and a postdoctoral appointment in Munich, he worked for two years as a Research Associate at Cornell University, before joining LLNL in 2004.

Martin's research interests include parallel and distributed architectures and applications; performance monitoring, modeling and analysis; memory system optimization; parallel programming paradigms; tool support for parallel programming; power efficiency for parallel systems; optimizing parallel and distributed I/O; and fault tolerance at the application and system level. In his position at LLNL he especially focuses on the issue of scalability for parallel applications, code correctness tools, and parallel performance analyzer as well as scalable tool infrastructures to support these efforts.

Martin is a member of LLNL's ASC CSSE ADEPT (Application Development Environment and Performance Team) and he works closely with colleagues in CASC's Computer Science Group (CSG) and in the Development Environment Group (DEG). He is also the PI for the ASC/CCE project on Open|SpeedShop and the LLNL PI for the OASCR PetaTools project on "Building a Community Tool Infrastructure around Open|SpeedShop".

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