cgal: Computations Geometry Algorithms Library

Contents

  1. Overview of package
  2. Overview of package
    1. General usage
  3. Availability of package by cluster

Overview of package

General information about package
Package: cgal
Description: Computations Geometry Algorithms Library
For more information: http://www.cgal.org
Categories:
License: Unknown

General usage information

The Computational Geometry Algorithms Library (CGAL) is a C++ library that aims to provide easy access to efficient and reliable algorithms in computational geometry. CGAL is used in various areas needing geometric computation, such as geographic information systems, computer aided design, molecular biology, medical imaging, computer graphics, and robotics

This module will add the various cgal* commands to your PATH.

The following environmental variables have been defined:

  • \$CGAL_ROOT has been set to the root of the cgal installation
  • \$CGAL_LIBDIR points to the directory containing the libraries
  • \$CGAL_INCDIR points to the directory containing the header files

You will probably wish to use these by adding the following flags to your compilation command (e.g. to CFLAGS in your Makefile):

  • -I\$CGAL_INCDIR
and the following flags to your link command (e.g. LDFLAGS in your Makefile):
  • -L\$CGAL_LIBDIR -Wl,-rpath,\$CGAL_LIBDIR

Available versions of the package cgal, by cluster

This section lists the available versions of the package cgalon the different clusters.

Available versions of cgal on the Deepthought2 cluster (RHEL8)

Available versions of cgal on the Deepthought2 cluster (RHEL8)
Version Module tags CPU(s) optimized for GPU ready?
4.13 cgal/4.13 ivybridge, x86_64 Y

Available versions of cgal on the Juggernaut cluster

Available versions of cgal on the Juggernaut cluster
Version Module tags CPU(s) optimized for GPU ready?
4.13 cgal/4.13 x86_64 Y

Available versions of cgal on the Deepthought2 cluster (RHEL6) [DEPRECATED]

Available versions of cgal on the Deepthought2 cluster (RHEL6) [DEPRECATED]
Version Module tags CPU(s) optimized for GPU ready?
3.1.4 cgal/3.1.4 ivybridge N