HPGL - High Perfomance Geostatistics Library (ver. 0.9.9)
Look for updates and other information at http://hpgl.github.io/hpgl/
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)
*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.
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.
Managment & Math:
- Savichev Vladimir
- Bezrukov Andrey
Programming (C++, Python), testing, support:
- Muharlyamov Arthur
- Barskiy Konstantin
- Nasibullina Dina
- Safin Rustam
- 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