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 the Software
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.
Intel® oneAPI Rendering Toolkit
Accelerate high-fidelity rendering and visualization applications with a set of rendering and ray-tracing libraries optimized for XPU performance at any scale.