Improve the visual fidelity, management, and efficiency of visualization solutions with this open source initiative from Intel and its partners. Support big data use on supercomputing clusters without the memory limits and cost of GPU-based solutions and unlock the parallelism already in your system. A preconfigured solution—the Software Defined Visualization (SDVis) Appliance—offers in-situ, postprocessing, and professional rendering of visualization tasks.
Enhance existing applications with rendering libraries for parallel software.
Rendering application engineers use these ray-tracing kernels to improve application performance. The kernels are optimized for photo-realistic rendering on the latest processors from Intel with support for Intel® Streaming SIMD Extensions [4.2] and Intel® Advanced Vector Extensions 512.
Courtesy of Attila Afra, Intel2
This portable ray-tracing engine delivers high-performance, high-fidelity visualization for CPUs on Intel® architecture. The rendering library allows you to create rendering applications for interactive applications. OSPRay builds on top of Embree and the Intel® SPMD Program Compiler (Intel® SPC).
Courtesy of Ingo Wald and Carson Brownlee, Intel3
This is a high-performance, scalable, OpenGL*-compatible, software rasterizer in the Mesa open source community project. Use unmodified visualization software to work with datasets when GPU hardware is unavailable or is limiting. This CPU-based product runs on laptops, workstations, and compute nodes in high-performance computing (HPC) systems.
Courtesy of Silvio Rizzi and Joe Insley, Argonne National Laboratory4
Visit Us at SIGGRAPH
See a flexible and powerful 10 node render-focused cluster solution—utilizing the Embree, OSPRay, and OpenSWR libraries—in the Intel Booth at SIGGRAPH 2017, July 30 – August 3 in Los Angeles, CA.