http://www.golem.de/news/linux-intel-gibt-schnelle-software-gpu-frei-1510-117042. HTML Published: 10/21/2015 17:08
OpenSWR is a software rasterizer from Intel, of the allows rendering on computing clusters without graphics units. The project will now be integrated into the free 3-D graphics library Mesa and be much faster than previous solutions.
Certain servers and high-performance computing clusters do not have a graphics unit to save approximately the cost of GPUs or to circumvent their storage restrictions. Nevertheless, in order to render graphics on these systems, so-called software rasterizer be used on (SWR). These behave for application software such as physical graphics hardware, but are themselves only software. Intel has such a program now freely published with OpenSWR to be integrated into the standard graphics stack of Linux.
Created has OpenSWR not the team that is responsible for the free Linux graphics drivers for Intel’s own GPUs, but a group in the company responsible for the care of server customers in the field of High-performance Computing is settled. By popular demand of these customers OpenSWR is now available as open source and will be integrated into the 3D graphics library Mesa, as the use is probably much easier.
Faster than Llvmpipe
In Mesa exist with swrast, Softpipe and Llvmpipe already three SWR. The architecture of OpenSWR is however designed for the visualization of scientific data in clusters with many cores, which differs greatly from the field of application of the other. In the corresponding tasks is OpenSWR also between 30 and 50 times as fast as Llvmpipe. The code currently supports OpenGL 3.2 backend of the Visualization Toolkit (VTK) and completed about 80 percent of the OpenGL tests in Piglit successfully.
OpenSWR uses the AVX instruction set extensions for the x86 architecture and should in addition to Intel hardware running on chips from AMD. The latter have not been tested but understandably the Intel developers. Porting to other architectures is furthermore possible only with much effort.
The code is available on GitHub under the MIT license used in Mesa. (sg)
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