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Deep dive: OpenCL face detection on PowerVR

Imagination’s R&D group has developed a face detection algorithm using OpenCL, which is based on a classifier cascade and is optimized to run on mobile devices comprising a CPU and PowerVR GPU.

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Cinema 4D export to COLLADA tutorial

COLLADA already supports exchanging shaders between 3D tools, however some applications and game engines are not capable of exporting and importing shaders to and from the COLLADA .dae format. This COLLADA tutorial will walk you through the steps supported Cinema 4D.

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OpenCL based ASL assists neurosurgeons compute brainshift in real-time

OpenCL based ASL was successfully utilized in the cognitive and diagnostics module of the medical robot developed within the framework of the ACTIVE project. Simulation of the brain shift process during a craniotomy procedure was implemented to facilitate robot-assisted awake neurosurgery.

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New dedicated “Learn OpenGL” training facility in the UK

To meet growing demands for professional OpenGL trainings KDAB has opened a new dedicated training facility in the UK with easy access from Manchester airport. Sign up now for our inaugural Modern OpenGL training starting on 28th September and learn modern OpenGL and GLSL via a combination of instructor led lessons, hands-on exercises and over 100 examples.

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Xilinx launches new Xcell Software Journal Publication aimed at C/C++ and OpenCL programmers


Xilinx, Inc. announced immediate availability of the inaugural issue of Xcell Software Journal – a quarterly magazine for application and embedded software developers creating smarter, connected, and differentiated systems across fast-growing markets such as 5G Wireless, SDN/NFV, Video/Vision, ADAS, Industrial IoT, and Cloud Computing. The magazine targets developers programming in high-level languages like C/C++ and OpenCL to harness significant performance-per-watt and "any-to-any" connectivity advantages of Xilinx® All Programmable devices over traditional software programmable devices. Xcell Software Journal is available as a one-click PDF download or can be read online in iPad/iPod-compatible ISSUU electronic magazine format.

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Open Source GPU capable of running OpenCL

In a white paper released during a semiconductor design conference last week in Silicon Valley, researchers from the University of Wisconsin-Madison outlined the architecture of the open source GPU dubbed MIAOW, or Many-core Integrated Accelerator of Wisconsin. The prototype was essentially designed to demonstrate an open source GPGPU compatible with OpenCL. The researchers said their goal was to emulate a full system, not to compete with commercial designs.

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How the NVIDIA driver will implement Vulkan

Introduction to Vulkan and how the NVIDIA driver will implement Vulkan:

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Basemark allows OpenGL ES 3.1 and Metal benchmarks side by side

After having gone through a management buyout just three months ago, the newly formed Basemark has introduced a suite of mobile benchmarks for iOS, OpenGL ES 3.1, and Metal. That’s impressive in of and by itself, but even more so because now for the first time a comparative test suite can be run across OSs with the same workloads and profile.

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The PowerVR Imaging Framework for Android with OpenCL and EGL

The PowerVR Imaging Framework for Android comprises a set of extensions to the OpenCL and EGL Application Programming Interfaces (APIs) that enable efficient interoperability of software running on PowerVR GPUs with other components such as a CPU, ISP and VDE. These extensions enable the construction of shared memory allocations and software pipelines across multiple hardware components with no redundant memory copies (termed zero-copy). The framework is integrated at the library layer of the Android software stack, enabling efficient interoperability between APIs such as OpenCL, OpenGL ES and emerging APIs such as OpenVX.

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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.

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