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High Perfomance Geostatistics Library
Home Page: http://hpgl.aoizora.org/
This project forked from hpgl/hpgl
High Perfomance Geostatistics Library
Home Page: http://hpgl.aoizora.org/
HPGL - High Perfomance Geostatistics Library (ver. 0.9.3) ------------------- 1. PROJECT SITE ------------------- Look for updates and other information at http://hpgl.sourceforge.net ------------------- 2. 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) ------------------- 3. 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. ------------------- 4. LICENSE ------------------- For non-commercial use (research, education, etc) HPGL is distributed under GPL version 2 license. For any questions on the possibilities of commercial distribution, please contact the Authors. ------------------- 4. THE AUTHORS ------------------- Managment & Math: Savichev Vladimir Bezrukov Andrey Programming (C++, Python), testing, support: Muharlyamov Arthur Barskiy Konstantin Nasibullina Dina ------------------- 5. 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
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