Simplify and Speed Up Volumetric Computations in Applications and Renderers

Volume rendering is a useful technique for visualizing 3D spatial data and for creating high-quality visual effects such as smoke, clouds, fog, computational fluid dynamics, magnetic resonance imaging (MRI), and seismic data.

This session introduces the Intel® Open Volume Kernel Library (Intel® Open VKL), a collection of high-performance volume-computation kernels that supports multiple volume types—structured, volumetric data blocks (VDB) sparse structured, spherical structured, adaptive mesh refinement, and unstructured.

Join ray tracing software engineers Greg Johnson and Johannes Meng to learn how the low-level volumetric data-processing algorithms of Intel Open VKL can streamline and enhance the rendering and simulation processing of 3D spatial data.

Topics include:

• An overview of the tool, including supported volumetric data structures and APIs
• A demonstration covering practical rendering use cases with several examples
• An interactive coding session that covers library initialization, volume creation (including VDB sparse volumes), API usage, and implementation of a simple renderer
• Guidance on more advanced rendering code samples that use Intel Open VKL applications
  

Get Intel Open VKL as part of the Intel® oneAPI Rendering Toolkit—a set of rendering and ray tracing libraries for creating high-performance, high-fidelity visual experiences.