The Khronos™ OpenCL™ working group has today released a maintenance update to OpenCL 2.2 to consolidate numerous bug fixes and clarifications to make the specification more precisely defined and more easily understood. In this maintenance release, the OpenCL C specification has now also been put into open source.
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.
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.
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.
Don’t miss this year’s OpenVX Workshop at Embedded Vision Summit. Khronos will present a day-long hands-on workshop all about OpenVX cross-platform neural network acceleration API for embedded vision applications. We’ve developed a new curriculum so even if you attended in past years, this is a do-not-miss, jam-packed tutorial with new information on computer vision algorithms for feature tracking and neural networks mapped to the graph API. We’ll be doing a hands-on practice session that gives participants a chance to solve real computer vision problems using OpenVX with the folks who created the API. We’ll also be talking about the OpenVX roadmap and what’s to come.