AMD post from October explaining Vulkan's Barrier system. Vulkan’s barrier system is unique as it not only requires you to provide what resources are transitioning, but also specify a source and destination pipeline stage. This allows for more fine-grained control of when a transition is executed. However, you can also leave quite some performance on the table if you just use the simple way, so today we’re going to look at vkCmdPipelineBarrier in detail.
Neuro-Biomorphic Engineering Lab, Faculty of Engineering, Jerusalem College of Technology, Jerusalem, Israel has posted on Github their OpenVX based PyOpenVX library - PythonOpenVX. Included is a complete article and discussion outlining how to use this framework.
Fresh OpenGL vs Vulkan graphics API performance numbers on the Intel side with their Mesa "ANV" driver.
Stream Computing is offering OpenCL training in Amsterdam in January 2017. For those wanting to learn solid GPU programming. This is a public training with trainees from various companies – get in contact if you want to learn more about our in-company trainings. For pre-requisites and pricing, please see the Stream Computing website.
A short tutorial about getting started with Swift 3 and OpenGL on Linux and macOS. To keep the code portable on both operating systems, GLFW is used to create a window with an OpenGL context.
IWOCL 2017 Call for Submissions now open. Only 73 days left to submit! Formal proceedings of the conference will be published in the ACM International Conference Series (ACM ICPS). Follow the Read More link for details of the selection criteria and how to submit your abstract for consideration via EasyChair.
Inspur and Khronos Member Intel announced partnership on an R&D project -- the Field Programmable Gate Array (FPGA) accelerator card F10A, at the SC16. This is a high density and high performance FPGA card based on OpenCL.
Khronos has posted the videos from the 2016 Khronos DevU in Seoul to YouTube. There are six videos covering: Vulkan HPP, Making SPIR-V Modules, OpenGL/Vulkan Performance Test, Vulkan Multi Threading (Korean), Vulkan Tutorial from Samsung (Korean) and a Vulkan Case Study (Korean).
Using OpenCL, programmers can utilize FPGAs with C, or other familiar high- level programming languages, instead of hardware-specific language. At SC16, one of the major issues for discussion is optimizing OpenCL kernels for high-performance computing.