AMD demonstrated hardware-based GPU virtualization solution with OpenCL and OpenGL support

AMD demonstrated at VMworld 2015 their hardware-based GPU virtualization solution, the AMD Multiuser GPU. This new solution from AMD enables a virtualized workstation-class experience with full ISV certifications and local desktop-like performance. With the AMD Multiuser GPU, IT pros can easily configure these solutions to allow up to 15 users on a single AMD GPU. Created for GPU-accelerated workflows such as GPU compute and OpenCL, the AMD Multiuser GPU is designed to overcome the limitations of software-based virtualization such as reduced end-user performance. Users have access to native AMD display drivers for OpenGL, DirectX and OpenCL acceleration, enabling work without restrictions. Additional AMD Multiuser GPU features include Compute capabilities based on OpenCL supported by industry leading GPU virtualization; Full feature set support including DirectX 12 and OpenGL 4.4 and OpenCL 2.0 acceleration support.   Read More

Vulkan on Intel Graphics at SIGGRAPH 2015

This Vulkan demo from Intel shows the power and performance improvements resulting from a thinner, better optimized 3D API. Vulkan API is on track for release before the end of this year.

   Read More

A Brief Overview Of Vulkan API

Toptal Technical editor Nermin Hajdarbegovic has written great overview on Vulkan. If you're curious how this new API slated compares to OpenGL, or how it relates to SPIR-V, this would be a good starting point.    Read More

OpenGL ES one day workshops in North London

Get Hands-on with Mobile Graphics! “An Introduction to Mobile Graphics” are one day workshops offered by Imagination Technologies in North London. At Universities, graphics technologies are generally taught as part of game development or the computer science curriculum, and are based on standard console or PC graphics. Since mobile devices are becoming increasingly popular, it is important that developers also understand the specific constraints of mobile devices where power-efficient rendering is a must. Imagination is partnering with Darren McKie (games and graphics programme leader at the University of Hull) to organize a workshop designed to introduce real-time rendering using OpenGL ES on mobile devices to students who have little or no prior experience with 3D graphics programming.    Read More

AMD APP SDK 3.0 released with support for OpenCL 2.0

AMD announced the release of APP SDK 3.0 supporting OpenCL 2.0. AMD APP SDK 3.0 adds support for Windows 10 as well as AMD’s latest 6th generation AMD A-series processors, Radeon R9 series graphics cards and FirePro W8100 and W9100 series graphics cards. AMD APP SDK 3.0 contains a complete set of sample code illustrating how to utilize each of the major new features of OpenCL 2.0. Some of these features are highlighted in the OpenCL 2.0 Demystified blog-series.   Read More

A quick guide to writing OpenCL kernels for PowerVR Rogue GPUs

This Imagination Technologies article and a follow-up to be published next month introduce OpenCL programming for the PowerVR Rogue architecture. Starting with an overview of OpenCL programming fundamentals using a basic program, followed by an explanation of OpenCL execution on Rogue GPUs. This provides the background to understand the programming guidelines for the Rogue architecture which are illustrated by using a case study of an image filtering program.   Read More

Glad - Multi-Language GL/GLES/EGL/GLX/WGL Loader-Generator based on the official specs

This is a tool to generate OpenGL function loaders. Select the language, OpenGL / OpenGL ES versions, core or compat profiles, and hit generate. The tool generates a header file with the declarations for the GL functions and enums for the chosen GL version, and generates a little C source file that resolves all of the functions at runtime. Many thanks to Mark Sunet on LinkedIn for pointing us to this project.   Read More

GPU-Stream benchmark for OpenCL

GPU-STREAM allows you to measure memory transfer rates to and from global device memory on GPUs. This benchmark is similar in spirit, and based on, the STREAM benchmark for CPUs. Unlike other GPU memory bandwidth benchmarks this does not include the PCIe transfer time.   Read More

@PietroGrandi3D Khronos thanks Chapter Leader Giorgio for doing such a great job!
@SaschaWillems2 Any chance we can coax you to update the old Khronos logo's on your sites? New logo's are here khronos.org/news/logos
OpenCL and OpenGL support on hardware-based GPU virtualization solution, the AMD Multiuser GPU ow.ly/RDTfc
safety