VisIt contains a rich set of visualization features so that you can view your data in a variety of ways. Users can quickly generate visualizations from their data, animate them through time, manipulate them, and save the resulting images for presentations. VisIt is a free interactive parallel visualization and graphical analysis tool for viewing scientific data on Unix and PC platforms. In-depth instructions for use of each package can be found at the respective package websites. These pages contain the basic information you need to use the software on the Blue Waters environment. Each package has been demonstrated to be scalable and stable. The main software tools being supported are VisIt, Paraview, and yt. This is where you can find information on how to run the visualization software provided by the Blue Waters project. Instead of writing an entirely new code, existing blocks of code were combined to solve Boussinesq equations.National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign Navigation Each step is divided into several sub-steps, each associated to a particular event. By convention the gravity force \vec^n \theta^n \right) are estimated by means of the Bell–Colella–Glaz second-order unsplit upwind scheme. This includes an implementation of the Boussinesq equations by combining the centered Navier-Stokes solver (see centered.h) and an advection-diffusion problem for the temperature field using the diffusion solver (see diffusion.h) and the advection of a passive scalar.įor this work, we focus on the Rayleigh-Bénard convection which involves a horizontal fluid layer of height H, which is heated uniformly from below and cooled uniformly from above in the presence of gravity. If (!fp) printf( "Binary file not found") Īn example on how to generate some arbitrary initial condition using matlab is available here \n ") įprintf (stderr, "Read from example.bin. An example is available here.įor testing the XDMF format using OpenMP try:įprintf (stderr, "Reprising run from existing initial conditions. Using this format requires the HDF5 library, which is usually installed in most computing centers or may be installed locally through a repository. Additional features include support for a large number of objects, file compression, a parallel I/O implementation through the MPI-IO or MPI POSIX drivers. The type, rank, dimension and other properties of each array are stored inside the file in the form of meta-data. The list of software capable of reading HDF5 files includes Visit, Paraview, Matlab, and Tecplot, to name a few. HDF5 files can be read without any prior knowledge of the stored data. As the name implies, data is organized following a hierarchical structure. Heavy data is composed of large datasets stored using the Hierarchical Data Format HDF5. Light data is stored using eXtensible Markup Language (XML) to describe the data model and the data format. Output_xmf_h5_foreach() Like the one above, but data is split in two categories: Light data and Heavy data. The unstructured grid is required to write results from quadtrees and octrees. Here, the results are written in plain ASCII. output_xmf_ascii_foreach() This routine is compatible with the XDMF Model and Format which can be read using Paraview or Visit.Output_vtu_bin_foreach() - Like the one above, but results are stored in double precision using a RAW binary format to save space. If used in MPI, each MPI task writes its own file, which may be linked together using a *.pvtu file. Other routines, specific to regular Cartesian grids are also available inside output_fields/ but are not recommended unless storage space is a concern.
0 Comments
Leave a Reply. |