2022
DOI: 10.1016/j.parco.2022.102982
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NekRS, a GPU-accelerated spectral element Navier–Stokes solver

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Cited by 78 publications
(36 citation statements)
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“…DNS of the three-dimensional incompressible Navier–Stokes equations were carried out using the CPU-based spectral element solver (Fischer, Lottes & Kerkemeier 2008) and its GPU equivalent (Fischer et al. 2022). The method involves the discretisation of the domain into hexahedral macro-elements, where the solution is expanded using a tensor product of th-order polynomials defined by the values at the Gauss–Lobatto–Legendre (GLL) nodes of the same order.…”
Section: Methodsmentioning
confidence: 99%
“…DNS of the three-dimensional incompressible Navier–Stokes equations were carried out using the CPU-based spectral element solver (Fischer, Lottes & Kerkemeier 2008) and its GPU equivalent (Fischer et al. 2022). The method involves the discretisation of the domain into hexahedral macro-elements, where the solution is expanded using a tensor product of th-order polynomials defined by the values at the Gauss–Lobatto–Legendre (GLL) nodes of the same order.…”
Section: Methodsmentioning
confidence: 99%
“…We present a few plots that reflect work in salient kernels, such as the advection operator, which is largely communication-free, and the pressure-Poisson coarse-grid solve, which is highly communication-intensive. Detailed, kernel-by-kernel, break downs are presented in [9,10] and are available in every logfile generated by NekRS. Further, it is important to note that NekRS supports multiple versions of all of its high-intensity kernels and communication utilities.…”
Section: Test Casesmentioning
confidence: 99%
“…Timestepping is based Nek5000's second-order characteristics method with one substep [11,12] and the timestep size is ∆t = 1.2e-3 (CFL=1.82). Pressure preconditioning is based on p-multigrid with CHEBYSHEV+ASM smoothing and hypre AMG for coarse grid solve [9]. Tolerances for pressure and velocity are 1e-4 and 1e-6, respectively.…”
Section: Test Casesmentioning
confidence: 99%
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“…As evident in the chart, the new examples demonstrate a variety of NEAMS applications and physics phenomena: MOOSE (open source physics modules and framework), Griffin [4] (reactor physics), Pronghorn [5] (engineering scale fluids), SAM [6] (systems scale fluids), Nek5000 [7] (computational fluid dynamics), Sockeye [8] (heat pipe analysis), Bison [9] (fuel performance and heat conduction), and Cardinal [10] (multiphysics application coupling the NekRS CFD solver [11] to MOOSE).…”
Section: Neams Models Recently Added To the Virtual Test Bedmentioning
confidence: 99%