JUNE 18–22, 2017
FRANKFURT AM MAIN, GERMANY

Prof. Dr. Felix Wolf

Full Professor, Department of Computer Science, Technische Universität Darmstadt
 

Felix Wolf is a full professor at the Department of Computer Science of TU Darmstadt in Germany, where he is head of the Laboratory for Parallel Programming. He specializes in methods, tools, and algorithms to exploit massive parallelism on modern computer architectures. He is a principal designer of Scalasca, a widely used open-source tool for the performance analysis of HPC applications. Moreover, he has initiated and serves as spokesman of the Virtual Institute – High Productivity Supercomputing, an international initiative of academic HPC programming-tool builders aimed at the enhancement, integration, and deployment of their products. His most recent contributions are in the areas of automatic performance modeling, adaptive scheduling, and parallelism discovery. Prof. Wolf has published more than a hundred refereed articles on parallel computing, several of which have received awards.

 
Speaker at: BoF 26: Leveraging Machine Learning for Parallel Performance Analysis
Wednesday, June 21, 2017, 03:45 pm - 04:45 pm