Torsten Hoefler
Identifiers
- name variant Torsten Hoefler 0.60 · backfill
Papers (31)
- Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts cs.LG · 2026 · author #4
- Confounder Detection via Treatment Intent: A New Observational Study Design stat.ME · 2026 · author #3
- Large Language Model Selection with Limited Annotations cs.CL · 2026 · author #4
- Grid Games: The Power of Multiple Grids for Quantizing Large Language Models cs.LG · 2026 · author #5
- ADELIA: Automatic Differentiation for Efficient Laplace Inference Approximations cs.DC · 2026 · author #9
- Resilient AI Supercomputer Networking using MRC and SRv6 cs.NI · 2026 · author #15
- SFT-then-RL Outperforms Mixed-Policy Methods for LLM Reasoning cs.LG · 2026 · author #3
- Earth System Foundation Model (ESFM): A unified framework for heterogeneous data integration and forecasting physics.ao-ph · 2026 · author #10
- An Engineering Journey Training Large Language Models at Scale on Alps: The Apertus Experience cs.DC · 2026 · author #11
- Process Reward Agents for Steering Knowledge-Intensive Reasoning cs.AI · 2026 · author #4
- SpaDA: A Spatial Dataflow Architecture Programming Language cs.DC · 2025 · author #3
- PICO: Performance Insights for Collective Operations cs.DC · 2025 · author #4
- The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm cs.LG · 2025 · author #4
- Assessing requirements to scale to practical quantum advantage quant-ph · 2022 · author #5
- GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers cs.LG · 2022 · author #3
- Graph Processing on FPGAs: Taxonomy, Survey, Challenges cs.DC · 2019 · author #5
- A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning cs.DC · 2019 · author #6
- Augment your batch: better training with larger batches cs.LG · 2019 · author #5
- SimFS: A Simulation Data Virtualizing File System Interface cs.DC · 2019 · author #4
- The Convergence of Sparsified Gradient Methods cs.LG · 2018 · author #2
- Neural Code Comprehension: A Learnable Representation of Code Semantics cs.LG · 2018 · author #3
- Survey and Taxonomy of Lossless Graph Compression and Space-Efficient Graph Representations cs.DS · 2018 · author #2
- {\mu}-cuDNN: Accelerating Deep Learning Frameworks with Micro-Batching cs.LG · 2018 · author #3
- Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis cs.LG · 2018 · author #2
- sPIN: High-performance streaming Processing in the Network cs.DC · 2017 · author #1
- Communication-Avoiding Parallel Algorithms for Solving Triangular Systems of Linear Equations cs.DC · 2016 · author #3
- Scaling betweenness centrality using communication-efficient sparse matrix multiplication cs.DC · 2016 · author #4
- AllConcur: Leaderless Concurrent Atomic Broadcast (Extended Version) cs.DC · 2016 · author #2
- SDNsec: Forwarding Accountability for the SDN Data Plane cs.NI · 2016 · author #4
- A communication-avoiding parallel algorithm for the symmetric eigenvalue problem cs.DC · 2016 · author #4
- Sparse Tensor Algebra as a Parallel Programming Model cs.MS · 2015 · author #2
Mentions
- 2605.30184 #4 · arxiv_oai · confidence 0.70 Torsten Hoefler
- 2605.26413 #3 · arxiv_oai · confidence 0.70 Torsten Hoefler
- 2605.24981 #4 · arxiv_oai · confidence 0.70 Torsten Hoefler
Frequent Coauthors
- Tal Ben-Nun 7 shared papers
- Dan Alistarh 4 shared papers
- Edgar Solomonik 4 shared papers
- Maciej Besta 4 shared papers
- Alexandros Nikolaos Ziogas 2 shared papers
- Benedikt Soja 2 shared papers
- Fanny Lehmann 2 shared papers
- Firat Ozdemir 2 shared papers
- Imanol Schlag 2 shared papers
- Patrik Okanovic 2 shared papers
- Salvatore Di Girolamo 2 shared papers
- Sebastian Schemm 2 shared papers
- Siddhartha Mishra 2 shared papers
- Thomas Schulthess 2 shared papers
- Yun Cheng 2 shared papers
- Aarthi Sundaram 1 shared papers
- Abdul Kabbani 1 shared papers
- Abhishek Dosi 1 shared papers
- Adrian Perrig 1 shared papers
- Adrian Popa 1 shared papers