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  nsCouette – A high-performance code for direct numerical simulations of turbulent Taylor–Couette flow

López, J. M., Feldmann, D., Rampp, M., Vela-Martín, A., Shi, L., & Avila, M. (2020). nsCouette – A high-performance code for direct numerical simulations of turbulent Taylor–Couette flow. SoftwareX, 11: 100395. doi:10.1016/j.softx.2019.100395.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0007-96E5-D Version Permalink: https://hdl.handle.net/21.11116/0000-0007-96E8-A
Genre: Journal Article

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nsCouette – A high-performance code for direct numerical simulations of turbulent Taylor–Couette flow.pdf (Any fulltext), 592KB
 
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 Creators:
López, Jose Manuel, Author
Feldmann, Daniel, Author
Rampp, Markus1, Author           
Vela-Martín, Alberto, Author
Shi, Liang, Author
Avila, Marc, Author
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1Max Planck Computing and Data Facility, Max Planck Society, ou_2364734              

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Free keywords: Astrophysics, Instrumentation and Methods for Astrophysics, astro-ph.IM, Physics, Computational Physics, physics.comp-ph
 Abstract: We present nsCouette, a highly scalable software tool to solve the Navier–Stokes equations for incompressible fluid flow between differentially heated and independently rotating, concentric cylinders. It is based on a pseudospectral spatial discretization and dynamic time-stepping. It is implemented in modern Fortran with a hybrid MPI-OpenMP parallelization scheme and thus designed to compute turbulent flows at high Reynolds and Rayleigh numbers. An additional GPU implementation (C-CUDA) for intermediate problem sizes and a version for pipe flow (nsPipe) are also provided.

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 Dates: 2020
 Publication Status: Published online
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 Identifiers: DOI: 10.1016/j.softx.2019.100395
Other: LOCALID: 3274388
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Title: SoftwareX
Source Genre: Journal
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Pages: - Volume / Issue: 11 Sequence Number: 100395 Start / End Page: - Identifier: -