Torsten is an ACM Fellow, IEEE Fellow, and Member of Academia Europaea.
He received the ACM Gordon Bell Prize in 2019.
He is the the youngest recipient of the IEEE Sidney Fernbach Award, the oldest career award in High-Performance Computing.
He was the first recipient of the ISC Jack Dongarra Award in 2023.
He has received many other career awards such as ETH Zurich's Latsis
Prize in 2015, the SIAM SIAG/Supercomputing Junior Scientist Prize in
2012, the best student award of the Chemnitz
University of Technology in 2005, the IEEE TCSC Young Achievers in
Scalable Computing Award in 2013, the IEEE TCSC Award of Excellence in
2019, and both the Young Alumni Award 2014 and the Distinguished Alumni
Award in 2023 from Indiana University.
He has published more than 300 papers in
peer-reviewed international conferences and journals and co-authored the
the MPI 3 specification. He has received six best paper
awards at the ACM/IEEE Supercomputing Conference in 2010, 2013, 2014, 2019, 2022, and 2023
(SC10, SC13, SC14, SC19, SC22, SC23). Other best paper awards include IPDPS'15, ACM HPDC'15 and HPDC'16, ACM
OOPSLA'16, and other conferences. Torsten was
elected into the first steering committee of ACM's SIGHPC in 2013 and he
was re-elected in 2016, 2019, and 2022.
His RAJA is two
(via Amnon Barak) and he is
an academic
descendant of Hermann von
Helmholtz.
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 in Redmond.
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 both an ERC Starting Grant and an ERC Consolidator
Grant on Data-Centric Parallel Programming.
If you would like to work with Torsten, please consult the SPCL Jobs page.
SPCL @ ETH Overview
In this video, I summarize the Scalable Parallel Computing Laboratory at ETH Zurich:
I recently presented a keynote at the DISC conference to overview parts
of the HPC landscape for an audience in the distributed systems
community. You can watch the whole video at DISC Keynote.
[3] Maciej Besta, Cesare Miglioli, Paolo Sylos Labini, Jakub Tětek, Patrick Iff, Raghavendra Kanakagiri, Saleh Ashkboos, Kacper Janda, Michal Podstawski, Grzegorz Kwasniewski, Niels Gleinig, Flavio Vella, Onur Mutlu, Torsten Hoefler:
[9] 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)
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)
