Prof. Torsten Hoefler — Research Profile
ETH Zurich · Department of Computer Science
About
Prof. Torsten Hoefler at ETH Zurich Department of Computer Science lists efficient and secure datacenter architecture and networking, cloud computing, climate simulations, large-scale machine learning, quantum and high-performance computing as their registered research area.
Research keywords
Recent papers
- Denoising Application Performance Models with Noise-Resilient PriorsNewACM Transactions on Architecture and Code Optimization · Oct 21
- PCM: Programmable Congestion Management for Terabit RDMA NICsPreprintarXiv (Cornell University) · Oct 9
- What Bloats Your Floats? Right-Sizing Numerical Precision for Scientific ComputingPreprintarXiv (Cornell University) · Oct 6
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Onur Mutlu 교수 연구실
ETH Zurich · Department of Information Technology and Electrical Engineering
Trail: Scalable and Low-Cost Temporal TLB Prefetching via Page-Table-Embedded DeltasPreprintarXiv (Cornell University) · Oct 6Shared topic: Parallel Computing and Optimization Techniques
Thomas Bourgeat 교수 연구실
EPFL · School of Computer and Communication Sciences
AI as a Compiler: Compiling Triton kernels without the Triton compilerPreprintarXiv (Cornell University) · Sep 29Shared topic: Parallel Computing and Optimization Techniques
Yihui Quek 교수 연구실
EPFL · School of Computer and Communication Sciences
Gibbs state preparation through quantum decodingPreprintarXiv (Cornell University) · Oct 2Shared topic: Quantum Computing Algorithms and Architecture
Other labs in this department
- Adrian Perrig 교수 연구실
system and network security, networks, internet architecture
- Ana Klimovic 교수 연구실
cloud computing, operating systems, distributed systems, storage systems, computer architecture
- Andreas Krause 교수 연구실
machine learning, artificial intelligence, reinforcement learning, probabilistic inference
- Angelika Steger 교수 연구실
algorithms, combinatorics, randomization and probabilistic methods, combinatorial models for optimization
- April Yi Wang 교수 연구실
educational technology, human-computer interaction, artificial intelligence in education, collective intelligence and organizational technology, end-user programming, user interface for programming
- Bernhard Schölkopf 교수 연구실
machine learning, causal inference, applications in the sciences