Presenter

Biography
Torsten Hoefler is a full professor at ETH Zurich, where he directs the Scalable Parallel Computing Laboratory (SPCL). He is also the Chief Architect for Machine Learning at the Swiss National Supercomputing Center and a long-term consultant to Microsoft in the areas of large-scale AI and networking. He received his PhD in 2007 at Indiana University and started his first professor appointment in 2011 at the University of Illinois Urbana–Champaign.
Torsten is an ACM Fellow, an IEEE Fellow, and a member of the Academia Europaea. He received the ACM Gordon Bell Prize in 2019. He is the the youngest recipient of the IEEE Sidney Fernbach Award, was the first recipient of the ISC Jack Dongarra Early Career Award in 2023, has received six Best Paper awards at the ACM/IEEE SC Conference, and received both the ACM Prize in Computing and the Max Planck-Humboldt Medal of Germany in 2024.
Torsten is an ACM Fellow, an IEEE Fellow, and a member of the Academia Europaea. He received the ACM Gordon Bell Prize in 2019. He is the the youngest recipient of the IEEE Sidney Fernbach Award, was the first recipient of the ISC Jack Dongarra Early Career Award in 2023, has received six Best Paper awards at the ACM/IEEE SC Conference, and received both the ACM Prize in Computing and the Max Planck-Humboldt Medal of Germany in 2024.
Presentations
ACM Gordon Bell Finalist
Awards and Award Talks
Applications
Livestreamed
Recorded
TP
ACM Gordon Bell Climate Modeling Finalist
Awards and Award Talks
Applications
GBC
Livestreamed
Recorded
TP
Paper
Energy Efficiency
Performance Measurement, Modeling, & Tools
Power Use Monitoring & Optimization
State of the Practice
Livestreamed
Recorded
TP
Paper
Performance Measurement, Modeling, & Tools
System Software and Cloud Computing
Livestreamed
Recorded
TP
Birds of a Feather
Artificial Intelligence & Machine Learning
Livestreamed
Recorded
TP
XO/EX
Paper
Architectures & Networks
HPC for Machine Learning
Performance Measurement, Modeling, & Tools
Programming Frameworks
Livestreamed
Recorded
TP
Paper
HPC for Machine Learning
Programming Frameworks
Livestreamed
Recorded
TP
Paper
Architectures & Networks
Livestreamed
Recorded
TP
Paper
BSP
Performance Measurement, Modeling, & Tools
System Software and Cloud Computing
Livestreamed
Recorded
TP
Paper
BP
State of the Practice
System Software and Cloud Computing
Livestreamed
Recorded
TP
Birds of a Feather
Artificial Intelligence & Machine Learning
Livestreamed
Recorded
TP
XO/EX
Paper
Architectures & Networks
Livestreamed
Recorded
TP
