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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:

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

BUILD

  1. *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.

  2. 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