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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Publications
89 items
What Bloats Your Floats? Right-Sizing Numerical Precision for Scientific Computing
2026
Cited
0
Causally Fair Generation with Large Language Models
2026
Cited
0
Which LLM to pick? Online Active Model Selection for Large Language Models
2026
Cited
0
FP64 Is All You Want, INT8 Is All You Need, FP4/6/8 Is All You Have
2026
Cited
0
WUSH-KV: KV Cache Quantization with Data-Adaptive Transforms
2026
Cited
0
Hardware-Aware Features for CUTLASS Kernel Selection
2026
Cited
0
Gauss What You Need: Compact Gaussian Splatting Across Scene Scales
2026
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0
The Canonical Parallel Form as a Substrate for Parallelizing Compilers and Agentic Optimizers
2026
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0
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Resume
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
15 total
Maciej Besta
ETH Zurich
Tal Ben-Nun
Lawrence Livermore National Laboratory
Salvatore Di Girolamo
NVIDIA
Calotoiu Alexandru
ETH Zurich
Grzegorz Kwasniewski
math libraries, NVIDIA
Dan Alistarh
Professor at IST Austria
William Gropp
Professor of Computer Science, University of Illinois
Saleh Ashkboos
ETH Zurich