Paul Fischer, ANL Paul Fischer is a Professor in the departments of Computer Science and Mechanical Science & Engineering at the University of Illinois, Urbana Champaign, and a senior scientist in the Mathematics and Computer Science Division at Argonne National Laboratory. He has published over 200 articles on high-order numerical methods, parallel computing, scalable iterative solvers, fluid mechanics and heat transfer. Fischer holds degrees in mechanical engineering from Cornell (B.S. ’81), Stanford (M.S. ’82) and MIT (Ph.D. ’89). He was a postdoc at Caltech in Applied Mathematics, where he was the inaugural recipient of the Center for Research in Parallel Computation Prize Fellowship. He was on the Applied Math faculty at Brown before joining Argonne. Fischer pioneered the development of spectral element methods for high-performance simulations of turbulence, including the development of Nekton 2.0, which was the first commercial software for distributed-memory parallel computers. The open source research variant, Nek5000, is a Gordon Bell Prize winner and has scaled to millions of ranks on Mira and Sequoia. NekRS, the GPU variant, scales to all of Frontier and was a 2023 Gordon Bell Finalist. Nek5000/RS is used by over 500 researchers in industry and academia. Fischer’s current research is focused on advanced preconditioners for GPU-based solutions of PDEs and reduced-order models for turbulent flows with applications to industrial problems.