Khronos royalty-free open standards for 3D graphics, Virtual and Augmented Reality, Parallel Computing, Machine Learning, and Vision Processing

The new era of spatial computing has arrived! At Hololight, we believe that augmented and virtual reality (XR) will change the way we work and collaborate for the better. We provide the XR software, infrastructure and streaming technology to visualize and work with industrial 3D data at scale. In doing so, we are revolutionizing the way companies engage with 3D content and scaling the use of XR. We have spent years perfecting our proprietary streaming technology to take XR use cases to unprecedented levels of scalability, efficiency, and immersion. With a foundation built on strategic partnerships, industry-leading customer references, and unparalleled expertise in XR streaming and spatial computing, we are committed to leading the way in creating real value for enterprise XR.

In this Khronos blog, learn about Datoviz, a cross-platform, open-source, high-performance GPU scientific data visualization library designed for interactive exploration of large datasets. Written in C/C++, it leverages the Khronos Vulkan® graphics API and integrates with the glfw window library. Datoviz aims to provide a unified, language-agnostic platform for interactive visualization in both 2D and 3D, with support for GUIs and general-purpose GPU compute. Datoviz demonstrates how Vulkan’s capabilities can be leveraged for high-performance GPU visualization, tackling the challenges of large-scale scientific data rendering while maintaining flexibility and efficiency.

LunarG has released Vulkan SDK 1.4.309.0 for Linux, Windows, and MacOS. Supporting Vulkan API revision 1.4.309, this SDK update brings a host of enhancements designed to streamline your graphics development workflow. Whether you’re debugging shaders, optimizing performance, or exploring new extensions, this SDK has something for you.

Key enhancements in this version include:  

• Vulkan Validation Layer error messages get a major upgrade—now clearer, more actionable, and easier to digest due to a standardized format.  
• The Vulkan Configurator levels up with slick new features, aimed at improving developer productivity.  
• Ten new extensions join the lineup, expanding your creative toolkit.  
• Validation coverage sees a boost, helping you catch more issues with less hassle.

Tsinghua is one of the most prestigious universities in China. Through teaching, research and innovation, Tsinghua University is committed to the advancement and well-being of the nation and the world. 

Datoviz is a cross-platform, open-source, high-performance GPU scientific data visualization library designed for interactive exploration of large datasets. Written in C/C++, it leverages the Khronos Vulkan® graphics API and integrates with the glfw window library. Datoviz aims to provide a unified, language-agnostic platform for interactive visualization in both 2D and 3D, with support for GUIs and general-purpose GPU compute.

A team of experts from IT4Innovations, NVIDIA, the University of Cologne, and the University of California has developed a new approach to rendering scientific visualisations that uses the ANARI API for parallel processing of large sci-vis data. This approach allows computations to be distributed across multiple devices, speeding up and simplifying the entire rendering process.