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Torsten Hoefler's Home Page

HPC China (Xi'an, China) [2016]
 Associate Professor
 Scalable Parallel Computing Lab
 Computer Science Department
 ETH Zürich
 Universitaetsstrasse 6
 CAB F 75
 8092 Zürich, Switzerland
 Admin phone: +41 44 632 6879

Torsten Hoefler directs the Scalable Parallel Computing Laboratory (SPCL) at D-INFK ETH Zurich. He received his PhD degree in 2007 at Indiana University and started his first professor appointment in 2011 at the University of Illinois at Urbana-Champaign.

Torsten has served as the lead for performance modeling and analysis in the US NSF Blue Waters project at NCSA/UIUC. Since 2013, he is professor of computer science at ETH Zurich and has held visiting positions at Argonne National Laboratories, Sandia National Laboratories, and Microsoft Research Redmond (Station Q).

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 also active in the application areas of Weather and Climate simulations 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.

He has been chair of the Hot Interconnects conference and technical program chair of the Supercomputing and ACM PASC conferences. He is associate editor of the IEEE Transactions of Parallel and Distributed Computing (TPDS) and the Parallel Computing Journal (PARCO) and a key member of the Message Passing Interface (MPI) Forum.

He has published more than 200 papers in peer-reviewed international conferences and journals and co-authored the latest versions of the MPI specification. He has received best paper awards at the ACM/IEEE Supercomputing Conference in 2010, 2013, and 2014 (SC10, SC13, SC14), EuroMPI 2013, IPDPS'15, ACM HPDC'15 and HPDC'16, ACM OOPSLA'16, and other conferences. Torsten received ETH Zurich's Latsis Prize in 2015, the SIAM SIAG/Supercomputing Junior Scientist Prize in 2012, the IEEE TCSC Young Achievers in Scalable Computing Award in 2013, the Young Alumni Award 2014 from Indiana University, and the best student award 2005 of the Chemnitz University of Technology. Torsten was elected into the first steering committee of ACM's SIGHPC in 2013 and he was re-elected in 2016. His Erdős number is two (via Amnon Barak) and he is an academic descendant of Hermann von Helmholtz.

Selected Recent Service

Selected Publications

[click here for full list]
VLDB'17
[1] C. Barthels, T. Schneider, I. Mueller, G. Alonso, T. Hoefler:
 Distributed Join Algorithms on Thousands of Cores presented in Munich, Germany, VLDB Endowment, Aug. 2017,
OOPSLA'16
[2] Andrei Marian Dan, Patrick Lam, Torsten Hoefler, Martin Vechev:
 Modeling and Analysis of Remote Memory Access Programming In Proceedings of the 2016 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications, presented in Amsterdam, Netherlands, pages 129--144, ACM, ISBN: 978-1-4503-4444-9, Nov. 2016, Outstanding Paper Award at OOPSLA'16 (4/52)
HPDC'16
[3] P. Schmid, M. Besta, T. Hoefler:
 High-Performance Distributed RMA Locks In Proceedings of the 25th Symposium on High-Performance Parallel and Distributed Computing (HPDC'16), Jun. 2016, (acceptance rate: 16% (20/129)) Karsten Schwan Best Paper Award at HPDC'16 (1/20)
SC14
[4] M. Besta, T. Hoefler:
 Slim Fly: A Cost Effective Low-Diameter Network Topology presented in New Orleans, LA, USA, Nov. 2014, Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis (SC14) (acceptance rate: 21%, 82/394) SC14 Best Student Paper (1/82)
SPAA'14
[5] T. Hoefler, G. Kwasniewski:
 Automatic Complexity Analysis of Explicitly Parallel Programs In Proceedings of the 26th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA'14), presented in Prague, Czech Republic, ACM, Jun. 2014, (acceptance rate: 25%, 30/122)
SC13
[6] R. Gerstenberger, M. Besta, T. Hoefler:
 Enabling Highly-Scalable Remote Memory Access Programming with MPI-3 One Sided In Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, presented in Denver, Colorado, USA, pages 53:1--53:12, ACM, ISBN: 978-1-4503-2378-9, Nov. 2013, (acceptance rate: 20%, 92/457) Best Student Paper Finalist (8/92) and SC13 Best Paper (1/92)
SC10
[7] T. Hoefler, T. Schneider and A. Lumsdaine:
 Characterizing the Influence of System Noise on Large-Scale Applications by Simulation In International Conference for High Performance Computing, Networking, Storage and Analysis (SC'10), Nov. 2010, (acceptance rate 19.8%, 50/253) SC10 Best Paper Award

       


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