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Improving the efficiency of the sub-stepping velocity splitting scheme within the Nektar++ framework

Title: Improving the efficiency of the sub-stepping velocity splitting scheme within the Nektar++ framework
Authors: Liosi, Alexandra; Swift, Adam; Chatzopoulos, Athanasios; Bottone, Francesco; Horikoshi, Masashi; Hoessler, Julien; Sherwin, Spencer
Source: 9th European Congress on Computational Methods in Applied Sciences and Engineering
Publisher Information: Scipedia, SL.
Publication Year: 2024
Collection: Imperial College London: Spiral
Subject Geographic: Libson; Portugal
Description: In this work, the computational performance of the Nektar++ framework for solving the incompressible Navier-Stokes (NS) equations using Spectral h/p elements is assessed and improved for industry-relevant geometries at high Reynolds numbers. There is an increasing need for simulating complex geometries with greater accuracy at a reduced computational cost. These simulations involve multiple spatial/temporal scales, and they should model or resolve complex transient phenomena such as turbulence transition, separation, and vortex system evolution. Standard explicit techniques require very low time steps, which are not feasible within an industrial environment, hence the need for efficient implicit time-stepping techniques. This study uses the implicit Sub-Stepping Velocity Splitting Scheme to solve the incompressible NS equations numerically in a segregated manner. This method is distinguished by its use of a mixed discretization scheme. Specifically, it employs Discontinuous Galerkin discretization to solve an unsteady advection equation during the Advection step while using Continuous Galerkin discretization for the Pressure and Diffusion steps. First, the performance of the proposed method is evaluated in terms of its numerical efficiency for both serial and parallel computations. Then, the Advection, Pressure, and Diffusion steps are explored based on the fundamental kernel efficiency to identify the most time-consuming components, aiming at reducing the memory footprint and moving them closer to the CPU-bound of the roofline model. We will present a systematic performance analysis, the challenges, and the advancements for mixed discretization time-stepping techniques relevant to any available Finite Element code aiming at solving exascale industrial problems.
Document Type: conference object
File Description: application/pdf
Language: unknown
Relation: ECCOMAS 2024; ECCOMAS 2024, 2024; https://hdl.handle.net/10044/1/117017; https://www.dx.doi.org/10.23967/eccomas.2024.270
DOI: 10.23967/eccomas.2024.270
Availability: https://hdl.handle.net/10044/1/117017; https://doi.org/10.23967/eccomas.2024.270
Rights: © 2024 The Author(s). Published by Scipedia, SL. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/). ; https://creativecommons.org/licenses/by-nc-sa/4.0/
Accession Number: edsbas.A130FD20
Database: BASE