Announcements, articles, and blurbs from Khronos and Khronos members about Khronos tech, conformant products, and more. If you are a interested in submitting a blog post, please check out our Blog Guidlines.
Previous blog posts have stressed that the deployment process of neural networks to inference engines is becoming fragmented. An accepted standard can facilitate the industrial use of artificial intelligence by creating mutual compatibility between deep-learning frameworks and inference engines. The Neural Network Exchange Format (NNEF) is the Khronos Group’s solution to this problem.
There is a wide range of open-source deep learning training networks available today offering researchers and designers plenty of choice when they are setting up their project. Caffe, Tensorflow, Chainer, Theano, Caffe2, the list goes on and is getting longer all the time. This diversity is great for encouraging innovation, as the different approaches taken by the various frameworks make it possible to access a very wide range of capabilities, and, of course, to add functionality that’s then given back to the community. This helps to drive the virtuous cycle of innovation.
As part of the ongoing work to ensure glTF meets the needs of the developer community the Khronos™ 3D Formats working group is working on a new glTF compression extension to greatly improve transmission efficiency of texture assets while providing efficient, cross-platform transcoding into a wide range of GPU hardware-accelerated texture formats.
The Khronos™ Group is about to release a new standard method of moving trained neural networks among frameworks, and between frameworks and inference engines. The new standard is the Neural Network Exchange Format (NNEF™); it has been in design for over a year and will be available to the public by the end of 2017.
Supercomputing is underway in Denver, Colorado! The 30th annual conference is this week from November 13 through 16, and explores high-performance computing, networking, storage, and analysis. Khronos will be at the show to demonstrate how Khronos standards, especially SYCL, are playing their parts in HPC today.
Bringing 25 graphics standards to various industries is a collaborative effort, run worldwide across Khronos’ over 100 member companies. We come together three times each year for face-to-face meetings, which present the rare opportunity for all of our active members, Working Groups, and personnel to discuss the goals for the upcoming year to drive our standards forward. These events also present the opportunity to give Khronie Awards to those whose contributions made significant impact to Khronos, our standards, and our mission.
After announcing the OpenXR working group this year at GDC, Khronos members are working hard to bring the standard to life, while also educating the industry on the importance of this upcoming technology. This week, VRDC brings together creators and key influencers in the virtual and augmented reality industries for the latest technology demos and discussions on best practices. During the show in San Francisco, some of our members will join a panel to discuss OpenXR and fragmentation in the AR/VR/MR industry.
Khronos is responsible for bringing more than Vulkan, OpenGL, and WebGL to the world. The Khronos Group and its members have created over 25 standards to date, a list that continually grows as needs for new standards arise from growing industries.
Recently I asked the community for beginner-friendly resources on Vulkan, and I compiled a list of them that you can find below. For the beginners reading this, Vulkan is a new graphics API-- in other words, a way to communicate with your GPU and make it do things. It's managed by the Khronos Group, which means it's under multi-company governance - being managed by the industry for the industry. Anyone who wants to do work on GPUs (not restricted to graphics programmers!) should at least have a high level knowledge of what it is.
In early August the team was at SIGGRAPH in Los Angeles, where we celebrated OpenGL’s 25th anniversary at the BOF Blitz Party. We also announced a new website, as well as OpenGL 4.6, a growing glTF ecosystem, and the Vulkan Portability Initiative.
Following the successful release of glTF 2.0, Khronos’ 3D asset transmission format continues to gain strong industry momentum, including support from Microsoft and Google. Today, Khronos has revealed that Google has released a new draft extension to use Draco geometry compression to make glTF files significantly more compact, that the Blender Exporter for glTF 2.0 is now complete and in beta, as well as Microsoft continuing to use glTF 2.0 to bring 3D capabilities to Paint 3D and Microsoft office. So – what is glTF? And why is it gaining so much adoption throughout the industry?
To expand the number of platforms that Vulkan can support, Khronos has formed a Vulkan Portability Technical Subgroup within its Vulkan Working Group. This subgroup is tasked with developing specifications, open-source library code and tools, together with conformance tests to define and support the set of Vulkan capabilities that can be made universally available across all major platforms, including those not currently served by Vulkan.
Adobe announced on July 25, 2017 that it will “end-of-life” Flash Player in 2020 and named WebGL— a widely-deployed, royalty-free web API standard for 2D and 3D graphics—as a successor to enable the next phase of rich interactive applications in your browser.
If you are going to be at the 44th SIGGRAPH, the largest conference and exhibition in computer graphics and exhibition techniques, from July 30 – August 3, 2017 at the Los Angeles Convention Center, don’t miss the opportunity to eat, drink, and learn about all things Khronos!
On May 16, OpenCL 2.2 was released by Khronos Group. The most important part of the new OpenCL version is support for OpenCL C++ kernel language, which is defined as a static subset of the C++14 standard. OpenCL C++ introduces long-awaited features such as classes, templates, lambda expressions, function and operator overloads, and several other constructs which increase parallel programming productivity through generic programming.