Torsten Hoefler earns first Jack Dongarra Early Career Award
Professor Torsten Hoefler, Head of the Institute for High Performance Computing Systems, is the inaugural recipient of the Jack Dongarra Early Career Award. Big congratulations!
Professor Torsten Hoefler from the Department of Computer Science receives the first-ever Jack Dongarra Early Career Award. He has been recognised for his substantial efforts to converging high performance computing (HPC) and artificial intelligence (AI). Torsten Hoefler's research centers on designing systems that prioritise performance, encompassing areas such as scalable networks, parallel programming methods, and performance modeling for AI systems and large-scale simulations.
The Jack Dongarra Early Career Award
The Jack Dongarra Early Career Award recognises outstanding early to mid-career researchers who have made significant contributions to scientific progress in fields such as computational sciences, machine learning, numerical algorithms, and software libraries. Sponsored by the ISC Group, the award comes with a 5000 Euro cash prize. From 2023 onwards, this award will serve as a tribute to Professor Jack Dongarra's lifelong achievements in the area of high performance computing and his service to the community. Dongarra will personally present the award to Hoefler at the ISC supercomputing conference in Hamburg after the opening ceremony on Monday, May 22.
About Torsten Hoefler
Torsten Hoefler is a full professor at the Department of Computer Science at ETH Zurich, where he heads the Scalable Parallel Computing Laboratory since 2012. Before joining ETH Zurich, he led the performance modeling and simulation efforts for the first petascale supercomputer, Blue Waters, at the University of Illinois at Urbana-Champaign. Internationally, Hoefler is one of the world’s leading scientists in the field of high-performance computing. His research aims at understanding the performance of parallel computing systems ranging from parallel computer architecture through parallel programming to parallel algorithms. He is also active in the application areas of Weather and Climate simulations as well as Machine Learning with a focus on Distributed Deep Learning. Hoefler has won numerous awards for his work, including earning a place of honour in the technical community when named as an IEEE Fellow and member of Academia Europaea. He also received the Latsis Prize from ETH Zurich in 2015, the ACM Gordon Bell Prize (2019) and two European Research Council (ERC) Grants.