Biography
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.
Presentations
Workshop
AI-HPC Convergence
Extreme Scale Computing
Parallel Programming Languages and Models
Performance
Runtime Systems
W
Recorded
Paper
Big Data
Computational Science
TP
Best Paper Finalist
Recorded
Awards Presentation
Awards
TP
Recorded
Tutorial
Algorithms
Cloud and Distributed Computing
Datacenter
Parallel Programming Languages and Models
Performance
TUT
Recorded
Panel
Accelerator-based Architectures
Quantum Computing
TP
XO/EX
Recorded
Paper
Applications
Computational Science
Scientific Computing
TP
Recorded
Panel
HPC Community Collaboration
State of the Practice
TP
XO/EX
Recorded
Birds of a Feather
TP
XO/EX
Paper
Accelerator-based Architectures
Performance
Visualization
TP
Recorded
Paper
Machine Learning and Artificial Intelligence
TP
Best Paper Finalist
Recorded
Paper
Architectures
Networks
TP
Best Reproducibility Advancement Finalist
Recorded
Paper
Applications
Numerical Algorithms
Security
TP
Recorded
Panel
Career Development
Emerging Technologies
State of the Practice
TP
XO/EX
Recorded
Paper
Architectures
Networks
TP
Best Paper Finalist
Recorded
Paper
Architectures
Networks
TP
Recorded
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