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
62 items
Network Design for Wafer-Scale Systems with Wafer-on-Wafer Hybrid Bonding
2026
Cited
0
Scaling Laws of Global Weather Models
2026
Cited
0
Spritz: Path-Aware Load Balancing in Low-Diameter Networks
2026
Cited
0
GraphSeek: Next-Generation Graph Analytics with LLMs
2026
Cited
0
MLIR-Forge: A Modular Framework for Language Smiths
2026
Cited
0
In-Network Collective Operations: Game Changer or Challenge for AI Workloads?
Computer · 2026
Cited
0
Practical Challenges in Executing Shor's Algorithm on Existing Quantum Platforms
2025
Cited
0
Design in Tiles: Automating GEMM Deployment on Tile-Based Many-PE Accelerators
2025
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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