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

Jose Manuel Lopez, Daniel Feldmann, Markus Rampp, Alberto Vela-Martin, Liang Shi, Marc Avila

Software X (2020) 11, 100395

https://doi.org/10.1016/j.softx.2019.100395

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.

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