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Tobias Weinzierl is Professor of High-Performance Computing (HPC) in the Department of Computer Science at Durham University, where he leads the Scientific Computing research group and serves as the Director of Durham’s Institute for Data Science (IDAS). After studying Computer Science with a minor in Maths, he earned a Dr. rer. nat. (PhD) as well as a habilitation in Computer Science from TUM. Tobias has been the inaugurate director of the Master in Scientific Computing and Data Analysis (MISCADA), he is the PI on multiple HPC projects tied to the UK’s exascale programme ExCALIBUR, and he heads the UK’s first Intel oneAPI Centre of Excellence. He also serves as Domain Panel Chair (Artificial Intelligence) for EuroHPC JU.

He is particularly interested in efficient ways how to translate state-of-the-art algorithms – multigrid, higher-order DG or SPH formalisms – into fast code that fits to modern architectures, and how to create performance-portable algorithms and code. Where possible, his work feeds into open source software. This software has to challenge modern hardware and software stacks, including compilers, tools, and runtimes, while demonstrating how we can obtain better insights more efficiently from modern technology by exploiting systems creatively and employing the latest numerical schemes.

In his role as Director of IDAS, Tobias is particularly interested in upskilling Digital Research Technology Professionals (RTPs). He champions several large grants within the UK’s Digital Research Infrastructure initiative that focus on skills development (including CAKE, SHAREing, and HAI-End), and is therefore heavily involved in creating advanced upskilling materials for HPC, developing novel training formats, and establishing a productive and efficient HPC software and service landscape.

@tobiasweinzierl.bsky.social

  • Thanks @inseismoland.bsky.social for dropping by. An excellent conference depends on excellent talks! [contains quote post or other embedded content]
  • The first keynote is by Sven Bodo Scholz who starts from the observation that tuning makes code (quality) worse and unfit for modern, heterogeneous hardware. And therefore should be done by compilers where possible. But are our compilers and programming languages fit for purpose?
  • Totally full room for the first tutorial of the HPC Day run by friends of Nvidia on AI model upscaling.
  • Great to be back in Munich for the ExaHyPE anniversary workshop. Great talk by Han @icc-durham.bsky.social on ExaGRyPE.
  • Citing a NWOBHM song from 1983: The Eagle Has Landed https://dl.acm.org/doi/10.1145/3799887 All if open access, all is worth reading!