[SCM] Packaging for ESyS-Particle - Open Source software for particle-based numerical modelling branch, master, updated. upstream/2.1-8-g7466541

[Anton Gladky]

The following commit has been merged in the master branch:
commit 746654158cfd63d1c03c9d44a4ea17f87acebe3e
Author: Anton Gladky <gladky.anton at gmail.com>
Date:   Tue Nov 22 19:17:07 2011 +0100

    Add manpage

diff --git a/debian/esys-particle.1 b/debian/esys-particle.1
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+.TH ESyS-Particle "2011-11-22"
+.SH NAME
+.B ESyS-Particle
+\- HPC Discrete Element Modelling Software.
+
+.SH SYNOPSIS
+.B mpirun -np 3 mpipython script.py
+.br
+Parameter -np should correspond to the number of threads.
+
+.SH DESCRIPTION
+.B ESyS-Particle 
+ESyS-Particle is Open Source software for particle-based numerical 
+modelling. The software implements the Discrete Element Method (DEM), a 
+widely used technique for modelling processes involving large 
+deformations, granular flow and/or fragmentation. ESyS-Particle is 
+designed for execution on parallel supercomputers, clusters or 
+multi-core PCs running a Linux-based operating system. The C++ 
+simulation engine implements spatial domain decomposition via the 
+Message Passing Interface (MPI). A Python wrapper API provides 
+flexibility in the design of numerical models, specification of 
+modelling parameters and contact logic, and analysis of simulation data. 
+ESyS-Particle has been used to simulate earthquake nucleation, 
+comminution in shear cells, silo flow, rock fragmentation, and fault 
+gouge evolution, to name but a few applications.
+
+See https://launchpad.net/esys-particle for documentation.
+
+.SH BUGS 
+Please report bugs to the special topic on Launchpad-page of the project:
+.br
+https://bugs.launchpad.net/esys-particle
+
+.SH COPYRIGHT 
+Open Software License version 3.0
+Primary Business: Brisbane, Queensland, Australia
+http://www.opensource.org/licenses/osl-3.0.php
diff --git a/debian/esys-particle.manpages b/debian/esys-particle.manpages
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+debian/*.1

-- 
Packaging for ESyS-Particle - Open Source software for particle-based numerical modelling