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Imagination Introduces Industry’s Smallest Android GPU Solution with OpenGL ES 2.0

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Imagination Technologies announced a new PowerVR graphics processor IP core that provides the industry's smallest Android compatible GPU solution. The new PowerVR Series5XE GX5300 core offers a small 0.55mm2 (250MHz in 28nm) silicon footprint, features full OpenGL ES 2.0 capability, ultra-low power consumption, and Imagination's advanced PVRTC texture compression technology.

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Boost.Compute v0.3 proposed header-only C++ library based on OpenCL

Boost.Compute is a header-only C++ library for GPGPU and parallel-computing based on OpenCL. This proposed library for Boost is available on GitHub and instructions for getting started can be found in the documentation. Are you interested in Parallel Computing? The Boost.Compute project is currently looking for additional developers. Boost.Compute is not yet an official Boost library.

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PowerVR GX5300: the world’s smallest GPU for next-generation wearables and IoT

There is a certain category of wearables and IoT devices that require advanced graphics and video processing alongside the sensors, connectivity and general-purpose processors; these devices feature displays and need to run multimedia-rich apps that require smooth OpenGL ES graphics. PowerVR GX5300 is designed to address the ultra-low power requirements of wearables. Whereas previous generation smartwatches could render graphics using a software-only approach or a simple 2D engine, newer wearable devices require fully featured GPUs to drive higher resolution user interfaces. PowerVR GX5300 can comfortably drive 480p and 720p resolutions representative of modern smartwatches, while offloading the main CPU and reducing software complexity.

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Khronos Group will present at the upcoming AR Community meeting in Munich, Germany

The AR Community for Open and Interoperable Augmented Reality Experiences will be holding a face-to-face community meeting on September 12 in Munich, Germany. The F2F meetings are designed to promote discussion among ecosystem stakeholders for the development of open and interoperable AR content and experiences. We will receive updates about standards under development from Standards Development Organization spokepeople and Work Group chairs from The Khronos Group and many other organizations. In order to plan the agenda of the September 2014 AR Community meeting to target the needs of the community, participants are HIGHLY ENCOURAGED to prepare and submit speaking abstracts and/or position papers. Community meeting position paper guidelines are available online.

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Khronos live at SIGGRAPH with 7 BOFs

Going to SIGGRAPH? Be sure to drop into one of our seven Birds of a Feather events, all followed up by our famous BOF Blitz™ After Party. We've got some great news and amazing presentations waiting for you.

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Amobee relies on glTF in digital advertising work flow

Khronos is proud to share that Amobee, the company defining digital advertising relies on glTF as part of its workflow to create immersive 3D mobile ads with its cutting-edge Amobee 3D technology. Check it out!

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Intel Passes OpenGL ES 3.1 Certification for Celeron, Pentium and Intel Atom Processors

Intel announced that its Intel Atom processor Z3700 series, the Intel Celeron processor N/J series, and the Intel Pentium processor N/J series, are now OpenGL ES 3.1 compliant. A complete list of conformant OpenGL ES products is located on the Khronos Group website.

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Khronos Group releases update to OpenVX 1.0 provisional specification

The Khronos Group has released an update to the OpenVX 1.0 provisional specification. The changes include a new object vx_array (a collection with random access by index), a major reorganization of the document structure and many bug fixes.

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The life cycle of the HIV virus with WebGL

A 3D interactive scene on CL3VER attempts to explain the puzzle of how the HIV virus functions and reproduces itself in the host cell using WebGL.

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Whitepaper: OpenCL on FPGAs for GPU Programmers

Altera has published a new whitepaper written by Acceleware, which compares OpenCL programing on GPUs and Altera FPGAs. The paper provides a brief overview of the OpenCL programming model and then focuses on how OpenCL kernels are executed on Altera FPGAs compared to GPUs. The key differences in optimization techniques for targeting FPGAs is also presented.

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