Scholar
Torsten Hoefler
Google Scholar ID: DdBvcBEAAAAJ
Professor of Computer Science at ETH Zurich
High Performance Computing
Deep Learning
Networking
Message Passing Interface
Parallel and Distributed Computing
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Citations & Impact
All-time
Citations
19,190
H-index
63
i10-index
256
Publications
20
Co-authors
160
list available
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CV
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Publications
71 items
Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts
2026
Cited
0
Confounder Detection via Treatment Intent: A New Observational Study Design
2026
Cited
0
Large Language Model Selection with Limited Annotations
2026
Cited
0
Grid Games: The Power of Multiple Grids for Quantizing Large Language Models
2026
Cited
0
ADELIA: Automatic Differentiation for Efficient Laplace Inference Approximations
2026
Cited
0
Resilient AI Supercomputer Networking using MRC and SRv6
2026
Cited
0
SFT-then-RL Outperforms Mixed-Policy Methods for LLM Reasoning
2026
Cited
0
An Engineering Journey Training Large Language Models at Scale on Alps: The Apertus Experience
2026
Cited
0
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Resume (English only)
Academic Achievements
ACM Fellow, IEEE Fellow, Member of Academia Europaea
ACM Gordon Bell Prize (2019)
Youngest recipient of the IEEE Sidney Fernbach Award (oldest career award in HPC)
Inaugural ISC Jack Dongarra Award (2023)
ETH Zurich Latsis Prize (2015)
SIAM SIAG/Supercomputing Junior Scientist Prize (2012)
IEEE TCSC Young Achievers Award (2013) and Award of Excellence (2019)
Indiana University Young Alumni Award (2014) and Distinguished Alumni Award (2023)
Max Planck-Humboldt Medal (Germany)
Over 300 peer-reviewed publications
Co-author of the MPI 3 specification
Seven best paper awards at SC (2010, 2013, 2014, 2019, 2022, 2023, 2024)
Best paper awards at IPDPS'15, HPDC'15/16, OOPSLA'16, etc.
Elected to ACM SIGHPC Steering Committee since 2013 (re-elected in 2016, 2019, 2022)
Background
Full Professor at ETH Zurich, Department of Computer Science
Director of the Scalable Parallel Computing Laboratory (SPCL)
Chief Architect for Machine Learning at the Swiss National Supercomputing Center
Long-term Consultant to Microsoft in large-scale AI and networking
Research focuses on performance of parallel computing systems, spanning architecture, programming, and algorithms
Active in Weather/Climate simulations and Distributed Deep Learning
Led numerous funded projects, including an ERC Starting Grant and an ERC Consolidator Grant on Data-Centric Parallel Programming
Co-authors
160 total
Maciej Besta
ETH Zurich
Tal Ben-Nun
Lawrence Livermore National Laboratory
Co-author 3
Co-author 4
Co-author 5
Salvatore Di Girolamo
NVIDIA
Calotoiu Alexandru
ETH Zurich
Grzegorz Kwasniewski
math libraries, NVIDIA
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