Note: This was a very early release of OpenSWR. We are adding a lot of new functionality and working on integrating the source into the Mesa project to provide a better experience for our users. Please visit www.openswr.org for more information.
The code provided here is for the curious and does not represent the latest OpenSWR progress.
OpenSWR is a high performance, highly scalable software rasterizer which implements a subset of the OpenGL API. Currently it implements a subset of the OpenGL 1.4 specification, namely the old-style fixed function pipeline.
OpenSWR will utilize all cores to parallelize work on both the vertex and fragment processing.
OpenSWR is provided as a shared library which can be used as a dropped in replacement for the system OpenGL on Linux (via LD_LIBRARY_PATH) or Windows (by placing in the application directory). It also provides an OSMesa interface that can be used for offscreen rendering.
This version is the first to be released to the public. Please bear with us if there are build or functionality issues. The major applications used for testing were ParaView and VisIt - if you are trying another program you may encounter missing features.
This version is coming out as we are working on some major cleanups to the code. In order to keep our commitment to release this to the community and to provide a well-tested version, we are releasing the code that was used for the SC14 demonstrations. The next major release will contain the cleanups.
If you encounter problems, please file an issue on github:
- CMake 2.8.12+
- LLVM 3.4+ (RTTI enabled)
- Python 3+
- libnuma-dev (Linux)
- ICC, GCC, or clang (Linux)
- Visual Studio 2012 (Windows)
Linux:
- mkdir build
- cd build
- "cmake-gui .." or "ccmake .."
- select a "Release" build and desired compiler. Note that you do not want to select the GLSL option - this is currently work in progress and requires a modified LLVM.
- select the target architecture (SSE4.2, AVX, or CORE-AVX2) appropriate for your CPU. The default is CORE-AVX2 for 4th Gen. Core processors.
- make
Windows:
- Run cmake GUI, configure as above
- Open generated solution file in Visual Studio
- Build
Linux:
The build creates a libGL.so.1 which you can use instead of the system OpenGL implementation, by pointing to it with LD_LIBRARY_PATH or LD_PRELOAD before starting your application.
Windows:
Due to the way ICD OpenGL drivers are loaded, the opengl32.dll must be renamed to the same as your system's OpenGL DLL, then placed in the application working directory.