No Travel? No Problem.

Remote Participation
Torsten Hoefler
Biography
Torsten Hoefler directs the Scalable Parallel Computing Laboratory (SPCL) at D-INFK ETH Zurich. He received his PhD degree in 2007 at Indiana University. Torsten has served as the lead for performance modelling and analysis in the US NSF Blue Waters project at NCSA/UIUC. Since 2013, he is professor of computer science at ETH Zurich and has held visiting positions at Argonne National Laboratories, Sandia National Laboratories, and Microsoft Research Redmond (Station Q). He has been chair of the Hot Interconnects conference and technical program chair of the Supercomputing and ACM PASC conferences. He is associate editor of the IEEE Transactions of Parallel and Distributed Computing (TPDS) and the Parallel Computing Journal (PARCO) and a key member of the Message Passing Interface (MPI) Forum. He has published more than 200 papers in peer-reviewed international conferences and journals and co-authored the latest versions of the MPI specification.
Presentations
Birds of a Feather
Accelerator-based Architectures
Heterogeneous Systems
TP
XO / EX
Tutorial
Online Only
Parallel Programming Languages and Models
TUT
Paper
Machine Learning and Artificial Intelligence
TP
Best Paper Finalist
Workshop
Accelerator-based Architectures
Applications
Architectures
Emerging Technologies
Heterogeneous Systems
Memory Systems
Networks
W
Workshop
Accelerator-based Architectures
Applications
Architectures
Emerging Technologies
Heterogeneous Systems
Memory Systems
Networks
W
Paper
Cloud and Distributed Computing
Emerging Technologies
Quantum Computing
State of the Practice
TP
Workshop
Online Only
Cloud and Distributed Computing
System Software and Runtime Systems
W
Workshop
Online Only
Architectures
Memory Systems
Parallel Programming Languages and Models
System Software and Runtime Systems
W
Panel
Parallel Programming Languages and Models
TP
Tutorial
In-Person Only
Accelerator-based Architectures
Parallel Programming Languages and Models
TUT
Workshop
Heterogeneous Systems
Parallel Programming Languages and Models
Parallel Programming Systems
Productivity Tools
System Software and Runtime Systems
W
Paper
Algorithms
Cloud and Distributed Computing
Data Management
Parallel Programming Languages and Models
TP
Chair of Sessions
Workshop
Accelerator-based Architectures
Applications
Architectures
Emerging Technologies
Heterogeneous Systems
Memory Systems
Networks
W
Workshop
Online Only
Cloud and Distributed Computing
System Software and Runtime Systems
W
Back To Top Button