HPGL - High Perfomance Geostatistics Library (ver. 0.9.9)

PROJECT SITE

Look for updates and other information at http://hpgl.github.io/hpgl/

DESCRIPTION

HPGL stands for High Perfomance Geostatistics Library. HPGL was written in C++ / Python to realize some geostatistical algorithms (see full list below). The algorithms are called in Python, by executing the corresponding commands.

HPGL utilizes some open-source components including:

modified version of GsTL (see \GsTL-1.3 folder)
TNT (Template Numerical Toolkit)
boost libraries boost (i.e. boost::python)
CLAPACK-3.1.1.1

BUILD

*NIX systems: In order to build the HPGL you will need to install scons, gcc, g++, libgomp (OpenMP), python, and boost::python packages (or build them from sources on sources-based distributions). After doing that, just type "scons -j X" from the HPGL root folder, where X is the number of CPUs which you want to use in building.
Windows: First, you will need to build the boost::python library. How to do it see on the boost site (www.boost.org). You can build HPGL by starting scons script (like in *nix building), but if you have MS Visual Studio, use the "hpgl.sln" solution instead.

LICENSE

For non-commercial use (research, education, etc) HPGL is distributed under BSD license. For any questions on the possibilities of commercial distribution, please contact the Authors.

THE AUTHORS

Managment & Math:

Savichev Vladimir
Bezrukov Andrey

Programming (C++, Python), testing, support:

Muharlyamov Arthur
Barskiy Konstantin
Nasibullina Dina
Safin Rustam

ACKNOWLEDGEMENTS

The Authors wish to thank Andre Journel for his valuable support and indefatigable enthusiasm.
The Authors also thank Iskander Shafikov for his assistance with the English translations and the User Guide cover

Hpgl

Install / Use

README