https://github.com/hpgl/hpgl

High Perfomance Geostatistics Library
https://github.com/hpgl/hpgl

Last synced: about 2 months ago
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High Perfomance Geostatistics Library

• Host: GitHub
• URL: https://github.com/hpgl/hpgl
• Owner: hpgl
• License: bsd-3-clause
• Created: 2011-07-04T12:42:09.000Z (almost 13 years ago)
• Default Branch: master
• Last Pushed: 2021-11-23T12:21:46.000Z (over 2 years ago)
• Last Synced: 2024-02-04T14:50:56.931Z (5 months ago)
• Language: HTML
• Homepage: http://hpgl.github.io/hpgl/
• Size: 24.1 MB
• Stars: 105
• Watchers: 23
• Forks: 22
• Open Issues: 2
• Metadata Files:
  • Readme: readme.md
  • License: license.txt

Lists

• awesome-open-geoscience - HPGL
• Awesome-Geospatial - HPGL - High Perfomance Geostatistics Library. (Python)
• awesome-open-geoscience - HPGL
• awesome-open-geoscience - HPGL
• awesome-reservoir-engineering - HPGL -  High perfomance geostatistics library (Software / Geostatistics)

README

        
## HPGL - High Perfomance Geostatistics Library (ver. 0.9.9)

## PROJECT SITE

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