Git Product home page Git Product logo

gabant / equalizer Goto Github PK

View Code? Open in Web Editor NEW

This project forked from eyescale/equalizer

0.0 1.0 0.0 65.35 MB

Equalizer is the standard middleware to create and deploy parallel OpenGL-based applications. It enables applications to benefit from multiple graphics cards, processors and computers to scale the rendering performance, visual quality and display size. An Equalizer application runs unmodified on any visualization system, from a simple workstation to large scale graphics clusters, multi-GPU workstations and Virtual Reality installations.

Home Page: http://www.equalizergraphics.com

License: Other

CMake 1.14% Batchfile 0.02% C 1.18% C++ 94.80% GLSL 0.30% Lex 0.64% Yacc 1.91%

equalizer's Introduction

Introduction

Welcome to Equalizer, the standard middleware to create and deploy parallel, scalable OpenGL applications. It enables applications to benefit from multiple graphics cards, processors and computers to scale the rendering performance, visual quality and display size. An Equalizer application runs unmodified on any visualization system, from a simple workstation to large scale graphics clusters, multi-GPU workstations and Virtual Reality installations.

The Equalizer Programming and User Guide covers the basics of Equalizer programming. The API documentation can be found on github.

As with any open source project, the available source code, in particular the shipped examples provide a reference for developing or porting applications.

Technical questions can be posted to the eq-dev Mailing List, or directly to [email protected].

Commercial support, custom software development and porting services are available from Eyescale. Please contact [email protected] for further information.

Features

Equalizer provides the following major features to facilitate the development and deployment of scalable OpenGL applications. A detailed feature list can be found on the Equalizer website. The [change log](@ref Changelog) lists features, improvements and bug fixes introduced in each version.

  • Runtime Configurability: An Equalizer application is configured automatically or manually at runtime and can be deployed on laptops, multi-GPU workstations and large-scale visualization clusters without recompilation.
  • Runtime Scalability: An Equalizer application can benefit from multiple graphics cards, processors and computers to scale rendering performance, visual quality and display size.
  • Distributed Execution: Equalizer applications can be written to support cluster-based execution. Equalizer uses the Collage network library, a cross-platform C++ library for building heterogenous, distributed applications.
  • Support for Stereo and Immersive Environments: Equalizer supports stereo rendering head tracking, head-mounted displays and other advanced features for immersive Virtual Reality installations.
  • Detailed @ref Changelog

Known Bugs

Please refer to the github issue tracker for fixed and open bugs, and to report new bugs.

Building from source

Equalizer is a cross-platform library, designed to run on any modern operating system, including all Unix variants and the Windows operating system. Equalizer requires at least OpenGL 1.1, but uses newer OpenGL features when available. It requires a C++11 compiler and uses CMake to create a platform-specific build environment. The following platforms and build environments are tested:

  • Linux: Ubuntu 16.04, RHEL 6.8 (Makefile, Ninja)
  • Windows: 7 (Visual Studio 2012)
  • Mac OS X: 10.9 (Makefile, Ninja)

Linux, Mac OS X

git clone --recursive https://github.com/Eyescale/Equalizer.git
mkdir Equalizer/build
cd Equalizer/build
cmake -GNinja -DCLONE_SUBPROJECTS=ON ..
ninja

Windows

If CMake and git are in PATH, run the following batch script to build using Visual Studio 2013:

build.bat

A note about BOOST + CMake on Windows

If your build fails with a Could NOT find Boost message, you may have a bad environment setup for Boost and CMake. To remedy this, CMake requires you to properly hint it to find your Boost distribution. Make sure you have the following variables set up:

  1. BOOST_ROOT pointing to your Boost root directory.
  2. BOOST_INCLUDEDIR pointing to your Boost includes (usually where BOOST_ROOT points to).
  3. BOOST_LIBRARYDIR pointing to your Boost binary directory (lib32-msvc-12.0 for instance).
  4. Boost_ADDITIONAL_VERSIONS having major, minor, and patch versions (separated by space).
  5. (optional) Boost_USE_STATIC_LIBS set to ON if you want to statically link to Boost. (default is OFF)
  6. (optional) Boost_USE_MULTITHREAD set to ON if you want to use Boost multi-threaded libraries. (default is ON)

An example set up would be (typed in Windows command prompt):

setx `BOOST_ROOT`                "F:\boost_1_57_0\"
setx `BOOST_INCLUDEDIR`          "F:\boost_1_57_0\"
setx `BOOST_LIBRARYDIR`          "F:\boost_1_57_0\lib32-msvc-12.0\"
setx `Boost_ADDITIONAL_VERSIONS` "1.57 1.57.0"
setx `Boost_USE_STATIC_LIBS`     "ON"
setx `Boost_USE_MULTITHREAD`     "ON"

equalizer's People

Contributors

eile avatar tribal-tec avatar cstalder avatar delyas avatar dardok avatar marwan-abdellah avatar purplekarrot avatar maxmah avatar samsellem avatar dulley avatar probert73 avatar delalond avatar wueest avatar petroskataras avatar rickarkin avatar m0bl0 avatar mjdsys avatar oliver-e avatar yarda avatar marlam avatar 3p3r avatar favreau avatar michaelvlad avatar roberthauck avatar shutter avatar steiner- avatar whimlex avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.