Presenter

Torsten Hoefler directs the Scalable Parallel Computing Laboratory (SPCL) at D-INFK ETH Zurich. He started his first professor appointment in 2011 at the University of Illinois at Urbana-Champaign, and has held visiting positions at Argonne National Laboratories, Sandia National Laboratories, and Microsoft Research Redmond (Station Q). He has published more than 200 papers in peer-reviewed international conferences and journals, has been awarded numerous best paper awards, and co-authored the latest versions of the MPI specification. Dr. Hoefler's research aims at understanding the performance of parallel computing systems ranging from parallel computer architecture through parallel programming to parallel algorithms. He is active in Weather and Climate applications, as well as Machine Learning, with a focus on Distributed Deep Learning. In those areas, he has coordinated tens of funded projects and an ERC Starting Grant on Data-Centric Parallel Programming. Additional information about Prof. Hoefler can be found on his homepage at htor.inf.ethz.ch.