Rocketeer is a powerful tool for visualizing
three-dimensional scientific data sets. It was developed by John
Norris and Robert Fiedler at CSAR to analyze numerical results from
rocket simulations, but it can be used for viewing many other types of
3-D data. Rocketeer handles many different types of grids
(e.g., non-uniform, structured, unstructured, multiblock) on which data
are defined, and many different data types (e.g., scalar, vector, or
Rocketeer can display data from multiple files or multiple
data sets from the same file in a single image, and it can perform the
same graphics operations on a series of data sets automatically to
produce frames for animation. The latter can be done in parallel using
Voyager. Rocketeer also
provides many viewing options, such as cut-aways and translucent
isosurfaces, to allow a clearer view of the interior of a 3-D volume,
and can display images remotely without having to transfer simulation
output to a local workstation.
Rocketeer can show a grid on the surface of the computational
domain, and/or it can indicate the value of a scalar variable on that
surface using a color scale. It can also display scalar variables
as multiple isosurfaces and/or on slices across the x, y, or z axes.
Rocketeer is written in C++ and uses the
which is based on OpenGL for
Rocketeer reads data stored in
HDF format (version 4).
Attributes stored with the data help Rocketeer interpret the
contents of the file without additional user input.
Rocketeer version 1.3.6 includes support for ghost
elements in unstructured meshes, meshes with mixed element types, and
automatically computes mesh quality measures. It can read CGNS format
files in addition to HDF4.
A User Guide is
available describing the interactive serial version of
Rocketeer, the parallel batch mode version
Voyager, and the client/parallel
server implementation Apollo/Houston.
Binaries can be downloaded for the following platforms:
To use Rocketeer on
Turing, simply add
to your .cshrc file to set your