1. DIATOMIC
  2. Untitled project
  3. tess

Overview

HTTPS SSH
# Tess Licensing

Tess is released as open source software under a BSD style [license](https://bitbucket.org/diatomic/tess/raw/master/COPYING).

# Tess Installation

(for tess based on qhull)


1. Install Dependencies


a. DIY

git clone https://bitbucket.org/diatomic/diy.git
cd diy
./configure
make


b. Parallel netCDF

wget http://cucis.ece.northwestern.edu/projects/PnetCDF/Release/parallel-netcdf-1.4.1.tar.gz
tar -xvf parallel-netcdf-1.4.1.tar.gz
cd parallel-netcdf-1.4.1
./configure --prefix=/your/install/location --with-mpi=/your/mpi/install/location --disable-fortran
make
make install


c. Qhull

wget http://www.qhull.org/download/qhull-2012.1-src.tgz
tar -xvf qhull-2012.1-src.tgz
cd qhull-2012.1-src
make


2. Install Tess

git clone https://bitbucket.org/diatomic/tess.git
cd tess

Configure using cmake:

cmake /path/to/tess \
-DCMAKE_CXX_COMPILER=mpicxx \
-Dserial=QHull \
-DDIY_INCLUDE_DIRS=/path/to/diy/include \
-DDIY_LIBRARY=/path/to/diy/lib \
-DPNetCDF_INCLUDE_DIR=/path/to/pnetcdf/include \
-DPNetCDF_LIBRARY=/path/to/pnetcdf/lib \
-DQHull_INCLUDE_DIRS=/path/to/qhull/include \
-DQHull_LIBRARY=/path/to/qhull/lib

make


# Tess Execution

1. Test tessellation only

(from tess top level directory)
cd examples/test-tess
edit TESS_TEST: select ARCH, num_procs, dsize (number of particles)
./TESS_TEST
../../tools/draw del.out.nc 0
mouse move to rotate, ‘z’ + mouse up, down to zoom, ‘t’ to toggle voronoi tessellation, ‘y’ to toggle delaunay tessellation, ‘f’ to toggle shaded rendering


2. Test tessellation + density estimator

(from tess top level directory)
cd examples/tess-dense
edit TESS_DENSE_TEST; select ARCH, num_procs, dsize (number of particles), gsize (number of grid points)
./TESS_DENSE_TEST
../../tools/dense-plot.py --raw=dense.raw --numpts=512
(assuming outfile was dense.raw and gsize was 512 512 512 in TESS_DENSE_TEST)


Dense-plot.py is a python script using numpy and matplotlib, but you can use your favorite visualization/plotting tool (VisIt, ParaView, R, Octave, Matlab, etc.) to plot the output. It is just an array of 32-bit floating-point density values listed in C-order (x changes fastest).