Martin Schulz

Biography
Martin Schulz 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 Universitaet Muenchen and also holds a Master of Science in Computer
Science from the UIUC. He has published over 200 peer-reviewed papers and currently serves as the chair of the MPI Forum, the standardization body for the Message Passing Interface. 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-aware parallel computing; and fault tolerance at the application and system level. Martin was a recipient of the IEEE/ACM Gordon Bell Award in 2006 and an R&D 100 award in 2011.
Science from the UIUC. He has published over 200 peer-reviewed papers and currently serves as the chair of the MPI Forum, the standardization body for the Message Passing Interface. 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-aware parallel computing; and fault tolerance at the application and system level. Martin was a recipient of the IEEE/ACM Gordon Bell Award in 2006 and an R&D 100 award in 2011.
Presentations
Workshop
Data Analytics
SIGHPC Workshop
Visualization
Paper
Intermediate
Programming Systems
Reproducibility
Resiliency
Workshop
Effective Application of HPC
OS and Runtime Systems
Programming Systems
SIGHPC Workshop
System Software
Tutorial
HPC Center Planning and Operations
Introductory
Power
Tutorial
Introductory
Performance
State of the Practice
Birds of a Feather
Programming Systems
Paper
Effective Application of HPC
Intermediate
Introductory
Performance
State of the Practice
Paper
Effective Application of HPC
Intermediate
Performance
Paper
Intermediate
Performance
Scientific Computing








