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Trusight partners with ImgTec and Vivante to deliver streamlined OpenCL and OpenGL ES solutions

Trusight, Inc. announced that it has partnered with Vivante Corporation to deliver a streamlined OpenCL and OpenGL ES solution of Trusight's patented video and CGI processing technology. DRC unlocks the visual processing algorithm that happens between the retina and brain, creating a disruptive innovation that revolutionizes the viewing experience on any screen. The Vivante optimized solution intelligently enhances and transforms media content to match real world colors, HDR, and details, while delivering notable power and bandwidth savings. Trusight Inc recently partnered with Imagination Technologies to deliver an optimized OpenCL implementation of Trusight’s patented multi-platform video and CGI processing technology, which can deliver notable power and bandwidth savings for Imagination’s PowerVR GPU technology.
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Upcoming OpenCL training in Europe

StreamComputing has posted their upcoming OpenCL training schedule for Europe. The following three training sessions will be broken into sections: Optimising cache and memory in Java, C, C++ and .NET; The basics of kernel and host programming; OpenACC and ArrayFire for faster development; Optimisation-techniques for AMD, NVIDIA, Intel, ARM; and Integration and algorithm-design. London - 21 August; Prague - 25 September; Munich - 16 October.
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Intel to talk and demo OpenCL at SIGGRAPH 2013, July 23-25

Join Intel’s OpenCL team at SIGGRAPH July 23-25 at the Anaheim Convention Center. Learn how OpenCL with Intel Iris Pro Graphic are accelerating film and video editing on the go at our Intel demo, booth 201. Join Intel and Adobe Systems for lunch and three-hours of OpenCL sessions Tuesday from 12:15-4:15 in Room 201A. And, while you are upstairs, come to the Intel Studio Lounge in Room 201B for demo on how you can get a faster, better graphics user experience on the go with OpenCL and Intel Media SDK. Learn more about these OpenCL demos and sessions.
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Khronos Releases OpenCL 2.0


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Khronos Releases OpenCL 2.0

The Khronos™ Group today announced the ratification and public release of the OpenCL™ 2.0 provisional specification. OpenCL 2.0 is a significant evolution of the open, royalty-free standard that is designed to further simplify cross-platform, parallel programming while enabling a significantly richer range of algorithms and programming patterns to be easily accelerated. As the foundation for these increased capabilities, OpenCL 2.0 defines an enhanced execution model and a subset of the C11 and C++11 memory model, synchronization and atomic operations. The release of the specification in provisional form is to enable developers and implementers to provide feedback before specification finalization, which is expected within 6 months.
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IndieGoGo project for OpenCL 2.0 reference manual has been started

Vincent Hindriksen from Streamcomputing has started an IndieGoGo project for an OpenCL 2.0 reference manual.If you feel his project is worthy, pop over and donate!
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OpenCL to WebCL with Emscripten

Port of QJulia OSX OpenCL Sample to WebCL using Emscripten. Working on WebKit.
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Core Avionics provides OpenCL, OpenGL support for real-time operating systems

Core Avionics has developed embedded OpenCL drivers for AMD Embedded G-Series SOC processors for use in aerospace and defense, and other high-reliability applications.
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Harlan targets complexity for GPGPU programming and compiles to OpenCL

HPC programmers who are tired of managing low-level details when using OpenCL or CUDA to write general purpose applications for GPUs (GPGPU) may be interested in Harlan, a new declarative programming language designed to mask the complexity and eliminate errors common in GPGPU application development. The idea with Harlan is to keep developers focused on the high-level HPC programming challenge at hand, instead of getting bogged down with the nitty gritty details of GPU development and optimization. Harlan's syntax is based on the language Scheme, and compiles to Khronos Group's OpenCL.
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AMD releases APPML source code, creates clMath library

The AMD library team has spent the last three years working on APPML – the Accelerated Parallel Processing Math Library. APPML contains an OpenCL implementation of BLAS and FFT routines. The library enables developers to accelerate common scientific and engineering computations on APUs and discrete graphics accelerators.
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