![]() ![]() “Machine learning and artificial intelligence have become important elements in the field of computational research”, says Thomas Schulthess, ETH Professor and Director of CSCS. With the system and its new capabilities soon to come online, Hoefler’s direct affiliation with CSCS is a win-win for all sides. “Alps,”CSCS’s research infrastructure, will replace the “Piz Daint” supercomputer in the course of next year and is expected to be particularly suitable for AI applications in addition to classical simulations. ![]() In PASC, scientists from various research domains optimise and develop their codes and algorithms in close cooperation with mathematicians, computer scientists, software developers and hardware manufacturers with the aim of making them efficient for state-of-the-art computer architectures-both in terms of computing time and energy consumption.” “This is particularly the case in the context of interdisciplinary projects connected to the Platform for Advanced Scientific Computing (PASC), initiated in Switzerland. ![]() “The highly distinguished specialist in the field of HPC and ML has for years acted as an important link between CSCS and researchers in classical scientific fields such as physics, climate research and materials research,” CSCS said in its announcement. He received the Latsis Prize from ETH Zurich in 2015, the ACM Gordon Bell Prize 2019 and two grants from the European Research Council (ERC). He was appointed an IEEE Fellow as well as a member of the Academia Europaea. 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.Īmong awards he has won include the Jack Dongarra Early Career Award, which was presented for the first time this year. His research aims to understand the performance of parallel computing systems, from parallel computer architecture to parallel programming and parallel algorithms. Last February he joined the RIKEN Center’s Satoshi Matsuoka as guests of the on this site to discuss the “Myths and Legends of HPC” white paper that they, with others, jointly wrote.īefore coming to ETH Zurich, Hoefler led performance modelling and simulation for the first petascale supercomputer, “Blue Waters,” at the University of Illinois at Urbana-Champaign. Hoefler has taken on increasing prominence in the HPC community over the last half dozen years, becoming a regular speaker on the supercomputing conference circuit and one who is frequently quoted by the media and a podcast guest. Hoefler has headed the Scalable Parallel Computing Laboratory (SPCL) at the Department of Computer Science at ETH Zurich since 2012. 1, ETH Professor Torsten Hoefler will be chief architect for machine learning of the architecture and technology workgroup at the Swiss National Supercomputing Centre (CSCS). ![]()
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