Nek5000: The code is available for download and installation from either a Subversion Control Repository or Git. Links to both repositories are given at: https://nek5000.mcs.anl.gov/
The git repository always mirrors the svn. Official releases are not in place since the nek community users and developers prefer immediate access to their contributions. However, since the software is updated on constant basis, tags for stable releases as well as latest releases are available, so far only for the Git mirror of the code.
The reason for this is that SVN is maintained mainly for senior users who already have their own coding practices, and will be maintained at Argonne National Laboratory (using respective account at ANL); the git repository is maintained at github. A similar procedure is followed for the documentation to which developers/users are free to contribute by editing and adding descriptions of features, and these are pushed back to the repository by issuing pull requests. These allow the nek team to assess whether publication is in order. All information about these procedures are documented on the homepage. KTH maintains a close collaboration with the Nek team at ANL.
The code is daily run through a series of regression tests via buildbot (to be transferred to jenkins). The checks range from functional testing, compiler suite testing to unit testing. So far not all solvers benefit of unit testing but work is ongoing in this direction Successful runs of buildbot determine whether a version of the code is deemed stable.
A suite of examples is available with the source code, examples which illustrate modifications of geometry as well as solvers and implementations of various routines. Users are encouraged to submit their own example cases to be included in the distribution.
The use cases withing ExaFLOW which involve Nek5000 will be packaged as examples and included in the repository for future reference.
Nektar++ : The code is a tensor product based finite element package designed to allow one to construct efficient classical low polynomial order h-type solvers (where h is the size of the finite element) as well as higher p-order piecewise polynomial order solvers. The framework currently has the following capabilities:
- Representation of one, two and three-dimensional fields as a collection of piecewise continuous or discontinuous polynomial domains.
- Segment, plane and volume domains are permissible, as well as domains representing curves and surfaces (dimensionally-embedded domains).
- Hybrid shaped elements, i.e triangles and quadrilaterals or tetrahedra, prisms and hexahedra.
- Both hierarchical and nodal expansion bases.
- Continuous or discontinuous Galerkin operators.
- Cross platform support for Linux, Mac OS X and Windows.
Nektar++ comes with a number of solvers and also allows one to construct a variety of new solvers. In this project we will primarily be using the Incompressible Navier Stokes solver.
SBLI: The SBLI code solves the governing equations of motion for a compressible Newtonian fluid using a high-order discretisation with shock capturing. An entropy splitting approach is used for the Euler terms and all the spatial discretisations are carried out using a fourth-order central-difference scheme. Time integration is performed using compact-storage Runge-Kutta methods with third and fourth order options. Stable high-order boundary schemes are used, along with a Laplacian formulation of the viscous and heat conduction terms to prevent any odd-even decoupling associated with central schemes.
NS3D: The DNS code ns3d is based on the complete Navier-Stokes equations for compressible fluids with the assumptions of an ideal gas and the Sutherland law for air. The differential equations are discretized in streamwise and wall-normal directions with 6th-order compact or 8th-order explicit finite differences. Time integration is performed with a four-step, 4th-order Runge-Kutta scheme. Implicit and explicit filtering in space and time is possible if resolution or convergence problems occur. The code has been continuously optimized for vector and massive-parallel computer systems until the current Cray XC40 system. Boundary conditions for sub- and supersonic flows can be appropriately specified at the boundaries of the integration domain. Grid transformation is used to cluster grid points in regions of interest, e.g. near a wall or a corner. For parallelization, the domain is split into several subdomains as illustrated in the figure.
Illustration of grid lines (black) and subdomains (red). A small step is located at Rex=3.3E+05.