Eye Candy 7
Realistic procedural graphic effects for high-precision design workflows.

A high-performance, scalable ray tracing engine for interactive scientific visualization and photorealistic rendering.
Intel OSPRay is an open-source, scalable, and portable ray tracing engine library developed to provide high-fidelity interactive rendering on Intel architecture. By 2026, OSPRay has fully integrated into the Intel oneAPI Rendering Toolkit, leveraging SYCL for seamless cross-architecture performance across Xeon CPUs and Max/Arc Series GPUs. It is built upon Intel Embree and Open VKL (Volume Kernel Library), allowing for the efficient rendering of both surface geometry and massive volumetric datasets. OSPRay is designed to handle 'big data' visualization challenges, utilizing MPI for distributed rendering across high-performance computing (HPC) clusters. Its architecture focuses on performance without sacrificing physical accuracy, supporting path tracing for photorealism and a dedicated 'SciVis' renderer for analytical visualization. The library's ability to run on standard server hardware without dedicated graphics cards makes it a cornerstone for cloud-based visualization and remote scientific analysis, while its 2026 updates provide enhanced support for AI-accelerated denoising via Open Image Denoise (OIDN) and real-time hardware-accelerated ray tracing on modern Intel discrete GPUs.
Scales rendering tasks across thousands of nodes in a cluster using Message Passing Interface (MPI) for massive data sets exceeding single-node memory.
Realistic procedural graphic effects for high-precision design workflows.
The industry-standard media processing engine for high-fidelity transcoding and automated ingest.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Native support for rendering AMR data structures commonly used in astrophysics and fluid dynamics simulations.
Unified code path that targets both Intel CPUs (AVX-512) and Intel GPUs (Xe-HPC) using SYCL.
Direct integration with Intel Open Volume Kernel Library for high-performance traversal and sampling of volumetric data.
Deep integration with Intel Open Image Denoise (OIDN) to produce clean images with fewer samples per pixel.
A production-ready material model based on the Disney Principled Shading model.
Support for varied data topologies including regular grids, spherical, and unstructured tetrahedral meshes.
Visualizing the 'Cosmic Web' involving billions of particles and massive volumetric gas density fields.
Registry Updated:2/7/2026
Execute parallel render to generate high-resolution frames.
Real-time volume rendering of high-resolution CT and MRI scans for diagnostic planning.
Visualizing 3D seismic data to identify potential drilling locations.