The GPU Technology Conference (GTC2017) will be running from May 8-11 this year in San Jose Convention Center. This year will see many sessions related to Khronos Technology including OpenCL, OpenGL, OpenVX, Vulkan and WebGL. NVIDIA has just added more sessions to their schedule. Check a list of Khronos related sessions on the Khronos site, or visit the NVIDIA GTC site to see all sessions.
Phoronix posted about the newly revised OpenCL.org website: "The folks behind StreamComputing BV are looking to strengthen the OpenCL compute ecosystem by improving the documentation and code samples as well as better overviews for those wishing to learn this Khronos compute standard." Learn more about OpenCL.org on Phoronix or on StreamComputing.
With Blender 2.79, OpenCL support has improved and should be closer to parity with Blender's CUDA capabilities. The OpenCL Cycles renderer has shorter render times by up to 50% in some cases, tiles are now seen updating while rendering, support for SSS and volume rendering, optimized transparent shadows, and various fixes.
The Portable Computing Language (POCL) has issued a new release of their open-source CPU-based OpenCL implementation. This new version of POCL continues relying upon LLVM and with this release adds support for LLVM/Clang 4.0 and 3.9.
The GPU Technology Conference (GTC2017) will be running from May 8-11 this year in San Jose Convention Center. This year will see many sessions related to Khronos Technology including OpenCL, OpenGL, OpenVX, Vulkan and WebGL. Check a list of Khronos technology only sessions on the Khronos site, or visit the NVIDIA GTC site to see all sessions.
Xilinx, Inc announced expansion into a wide range of vision guided machine learning applications with the Xilinx reVISION stack. Developers with limited hardware expertise can use a C/C++/OpenCL development flow with industry-standard frameworks and libraries like Caffe and OpenCV to develop embedded vision applications on a single Zynq SoC or MPSoC. For application level development, Xilinx supports industry-standard frameworks including Caffe for machine learning and OpenVX for computer vision.