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Improved filtering added to the Vulkan Hardware Database

Sascha Willems has reworked filtering for his Vulkan Hardware Database. A new settings page allows for more control over global filters applied to the data, hopefully making it easier to limit results to what people are actually looking for. 

A Position-Based Particle Orientation Dynamics Algorithm Implemented in OpenCL for Houdini

Giacomo Balma, Sr. FX Technical Artist at MPC, has created a position-based particle orientation dynamics algorithm that computes the orientation of a particle by considering the change in position of its local neighbors. It is fully implemented in OpenCL for Houdini SideFX Software DOPs and adds very little overhead to the simulation. Learn more and watch a video of it in action. 

Kitware Introduces ANARI Capability Analysis Tool

Kitware’s Capability Analysis Tool (CAT) is designed to identify performance bottlenecks and limitations. This tool addresses critical questions that arise during development, such as:

  • Animated Vertices: How does the renderer perform when dealing with vertices that are animated (changing positions over time)?
  • Material Switching: Is the renderer capable of rapidly switching between different materials assigned to objects
  • Surface Limits: What is the max number of surfaces the renderer can handle before experiencing a significant drop in framerate?
  • Structural Changes: Can the renderer efficiently handle frequent updates to the objects within the scene?
  • Instance Rendering: How many instances of a given object can the renderer efficiently process?
  • Latency Stability: Does the renderer maintain stable latency under various workloads and scene complexities?

By generating procedural scenes and systematically varying parameters related to these questions, the CAT provides implementers insights into the performance characteristics and limitations of their ANARI implementations. This information can be used to optimize the renderer, identify areas for improvement, and ensure that the renderer meets the desired performance targets. This tool has been contributed to the ANARI SDK.

NVIDIA Vulkan Beta Driver Introduces BFloat 16 Support

NVIDIA recently published beta drivers that introduce the recently released VK_KHR_shader_bfloat16 extension in Vulkan 1.4.311 build. This extension allows for Brain Float BF16 operations within shaders in conjunction with the SPV_KHR_bfloat16 extension from SPIR-V. BFloat16 extensions should prove particularly useful for modern GPUs and software supporting Vulkan-accelerated machine learning / AI. 

Khronos Group Welcomes Hololight as Contributor Member

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.

Datoviz: Ultra-Fast, High-Performance GPU Scientific Visualization Library Built on Vulkan

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.

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