Presenter

Prof. Torsten Hoefler directs the Scalable Parallel Computing Laboratory at D-INFK ETH Zurich. He received his Ph.D. degree in 2007 at Indiana University and started his first professor appointment in 2011 at the University of Illinois at Urbana-Champaign. Hoefler has served as the lead for performance modeling and analysis in the US NSF Blue Waters project at NCSA/UIUC. Since 2013, he is a professor of Computer Science at ETH Zurich and has held visiting positions at Argonne National Laboratories, Sandia National Laboratories, and Microsoft Research Redmond. His research aims at understanding the performance of parallel computing systems ranging from parallel computer architecture through parallel programming to parallel algorithms. He is also active in the application areas of weather and climate simulations as well as Machine Learning with a focus on Distributed Deep Learning. Hoefler has published more than 200 papers in peer-reviewed international conferences and journals.