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

López, Jose Manuel; Feldmann, Daniel; Rampp, Markus; Vela-Martín, Alberto; Shi, Liang; Avila, Marc

doi:10.1016/j.softx.2019.100395

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

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Rampp, Markus
Max Planck Computing and Data Facility, Max Planck Society;

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Citation

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.

Cite as: https://hdl.handle.net/21.11116/0000-0007-96E5-D

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.