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.
Enhance existing applications using the high performing parallel software rendering libraries
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Embree
Ray Tracing Kernel Library
The target user of Embree are graphics application engineers that want to improve the performance of their application by leveraging the optimized ray tracing kernels of Embree. The kernels are optimized for photo-realistic rendering on the latest Intel® processors with support for SSE, AVX, AVX2, and AVX-512.
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OSPRay
A Ray Tracing Based Rendering Engine for High-Fidelity Visualization
an open source, scalable, and portable ray tracing engine for high-performance, high-fidelity visualization on Intel® Architecture CPUs. OSPRay is released under the permissive Apache 2.0 license.
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OpenSWR
OpenGL Software Rasterizer
A high performance, highly scalable OpenGL compatible software rasterizer that allows use of unmodified visualization software. This allows working with datasets where GPU hardware isn't available or is limiting. OpenSWR is completely CPU-based, and runs on anything from laptops, to workstations, to compute nodes in HPC systems.
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