Torsten Hoefler is a Professor at the Swiss Federal Institute of Technology (ETH) Zurich, where he serves as Director of the Scalable Parallel Computing Laboratory. He is also the Chief Architect for Machine Learning at the Swiss National Computing Center and a long-term consultant to Microsoft in areas including large-scale AI and networking. His research interests include performance-centric system design, which includes scalable networks, parallel programming techniques, and performance modeling for large-scale simulations and AI systems.
Among his honors, Hoefler was named an ACM Fellow for foundational contributions to high- performance computing and the application of HPC techniques to machine learning. Further, he was part of a team won the ACM Gordon Bell Prize. He is the youngest recipient of the IEEE CS Sidney Fernbach Award for outstanding contributions in the application of high-performance computers using innovative approaches. Hoefler is also the inaugural recipient of The ISC Jack Dongarra Early Career Award, which is given to an early- to mid-career researcher who has been a catalyst for scientific progress through exceptional work in areas including numerical algorithms and software libraries, computational sciences, mathematics, and machine learning.
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The People of ACM series highlights the unique scientific accomplishments and compelling personal attributes of ACM members at the forefront of advancing computing as a science and a profession. These bulletins feature ACM members whose personal and professional stories are a source of inspiration for the larger computing community. To read more People of ACM interviews, visit: [ Ссылка ].
