Forked from cholla-hydro/cholla
A 3D GPU-based hydrodynamics code (Schneider & Robertson, ApJS, 2015).
This is the stable branch of the Cholla code. Cholla is designed to be run using NVIDIA GPUs, and can be run in serial mode using one GPU or with MPI.
An example makefile is included in this directory. After downloading the code, you should be able to configure it for your machine by modifying the makefile appropriately.
Most of the configuration options available in Cholla are selected by commenting/uncommenting the appropriate line within the makefile, e.g. single vs double precision, output format, the reconstruction method, Riemann solver, integrator, and cooling. The entire code must be recompiled any time you change the configuration.
A few options must be specified on the 'FLAGS' line in the makefile. These include the h correction (-DH_CORRECTION), dual energy (-DDE), the static gravity module (-DSTATIC_GRAV), and the passive scalar flag (-DSCALAR). It is strongly recommended that you include the dual energy flag when cooling is turned on.
To run the code after it is compiled, you must supply an input file with parameters and a problem that matches a function in the initial_conditions file. For example, to run a 1D Sod Shock Tube test, you would type
./cholla tests/1D/Sod.txt
in the directory with the cholla binary. Some output will be generated in the terminal, and output files will be written in the directory specified in the input parameter file.
To run Cholla in parallel mode, the CHOLLA_MPI flag in the makefile must be uncommented. Then you can run using
mpirun -np 4 ./cholla tests/1D/Sod.txt
Each process will be assigned a GPU. Cholla cannot be run with more processes than available GPUs, so MPI mode is most useful on a cluster (or for testing parallel behavior with a single process).
More information about compiling and running Cholla can be found in the wiki associated with this repository.
Cholla can be run without GPUs by commenting out CUDA in the makefile, but this configuration is not recommended. Because Cholla was designed with GPUs in mind, the CPU performance is lackluster at best. In addition, some of the configuration options are not available in the non-CUDA mode (and warnings are not always included).
When running tests in fewer than 3 dimensions, Cholla assumes that the x-direction will be used first, then the y, then z. This is to say, in 1D nx must always be greater than 1, and in 2D nx and ny must be greater than 1.
In practice, we have found the Van Leer integrator to be the most stable. Cholla is set to run with a default CFL coefficient of 0.3, but this can be changed within the grid initialization function.
Currently, Cholla is not designed to be able to run very large (>1e6) 1 dimensional problems. If this is a functionality you are interested in, please let us know.