Software Defined Visualization
Software Defined Visualization (SDVis) is an open source initiative from Intel and industry collaborators to improve the visual fidelity, performance and efficiency of prominent visualization solutions – with a particular emphasis on supporting the rapidly growing “Big Data” usage on workstations through HPC supercomputing clusters without the memory limitations and cost of GPU based solutions. Existing applications can be enhanced using the high performing parallel software rendering libraries OpenSWR, Embree, and OSPRay. For example, many major visualization tools such as ParaView, VisIt (binary packages), and VMD adopt our SDVis libraries. For more information and access to the libraries (including source) follow the links.
For more background on the SDVis initiative, see this presentation at IEEE Vis 2016. A paper about OSPRay – A CPU Ray Tracing Framework for Scientific Visualization has been accepted at IEEE Vis as well (smaller version), see also the slides of the talk.
Learn more about the key components available and under development:
Embree Ray Tracing Kernel Library
OSPRay Distributed Ray Tracing Infrastructure
OpenSWR OpenGL Software Rasterizer
Intel® Parallel Computing Center collaborators:
- Texas Advanced Computer Center (TACC)
- Kitware, Inc.
- University of Tennessee
- University of Oregon
- University of Utah
- The Stephen Hawking Centre for Theoretical Cosmology, University of Cambridge
- Hartree Centre STFC, Daresbury