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2023 (English)In: SC '23: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, Association for Computing Machinery (ACM) , 2023, p. 1-9, article id 5Conference paper, Published paper (Refereed)
Abstract [en]
We detail our developments in the high-fidelity spectral-element code Neko that are essential for unprecedented large-scale direct numerical simulations of fully developed turbulence. Major inno- vations are modular multi-backend design enabling performance portability across a wide range of GPUs and CPUs, a GPU-optimized preconditioner with task overlapping for the pressure-Poisson equation and in-situ data compression. We carry out initial runs of Rayleigh–Bénard Convection (RBC) at extreme scale on the LUMI and Leonardo supercomputers. We show how Neko is able to strongly scale to 16,384 GPUs and obtain results that are not pos- sible without careful consideration and optimization of the entire simulation workflow. These developments in Neko will help resolv- ing the long-standing question regarding the ultimate regime in RBC.
Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2023
National Category
Computer Sciences Fluid Mechanics and Acoustics
Identifiers
urn:nbn:se:kth:diva-340333 (URN)10.1145/3581784.3627039 (DOI)2-s2.0-85179549233 (Scopus ID)
Conference
SC: The International Conference for High Performance Computing, Networking, Storage, and Analysis, NOV 12–17 DENVER, CO, USA
Funder
Swedish Research Council, 2019-04723Swedish e‐Science Research CenterEU, Horizon 2020, 101093393, 101092621, 956748
Note
Part of ISBN 9798400701092
QC 20231204
2023-12-042023-12-042024-03-18Bibliographically approved