Exploring the Ultimate Regime of Turbulent Rayleigh–Bénard Convection Through Unprecedented Spectral-Element Simulations

SC '23: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis(2023)

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摘要
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 innovations 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 possible without careful consideration and optimization of the entire simulation workflow. These developments in Neko will help resolving the long-standing question regarding the ultimate regime in RBC.
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关键词
Rayleigh Bénard,Ultimate Regime,Source Code,High-performance Computing,Types Of Methods,Flow Velocity,Aspect Ratio,Parallelization,Fluid Dynamics,Turbulent Flow,Convective Heat,Modern Science,Nusselt Number,Parallel Work,Coarse Grid,Compression Algorithm,Rayleigh Number,High-order Method,Lossless Compression,Domain-specific Languages,Proper Orthogonal Decomposition,Fortran Code,Strong Scaling,Matrix-vector Product,Heat Transfer,Load Data,Modern Computer,Multigrid,Stiffness Matrix,Storage Requirements
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