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Intel SDK for OpenCL Applications Now Supports Windows 8.1

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The Intel SDK for OpenCL Applications 2013 Release 2 now supports Microsoft Windows 8.1, as well as Intel Atom Z3000 Series ( formerly “Bay Trail”) Platforms. Designed for visual computing applications, the SDK continues to support the full OpenCL 1.2 standard on 3rd and 4th generation Intel Core processors, helping developers harness the hardware acceleration capabilities of Intel Iris and Intel HD Graphics. Download a free copy of Intel SDK for OpenCL Applications 2013 R2.

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Altera announces quad-core 64-bit ARM Cortex-A53 with OpenCL SDK

Altera has announced that its Stratix 10 SoC devices, manufactured on Intel's 14nm Tri-Gate process, will incorporate a high-performance, quad-core 64-bit ARM Cortex-A53 processor system, complementing the device's floating-point digital signal processing (DSP) blocks and high-performance FPGA fabric. Embedded developers will be able to accelerate debug cycles with Altera's SoC Embedded Design Suite (EDS) featuring the ARM Development Studio 5 (DS-5) Altera Edition toolkit, as well as use Altera's software development kit (SDK) for OpenCL to create heterogeneous implementations using the OpenCL high-level design language.

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Graphics and Compute Development on Samsung Chromebook with OpenGL ES and OpenCL

ARM have released binary user space drivers and a step-by-step guide to use these drivers on the Samsung Chromebook to provide an open development platform for OpenGL ES and OpenCL.

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Khronos Group at Chinese Ministry of Education’s (MOE) faculty training seminar

The Khronos Group was in China visiting Beijing, Shanghai and Shenzhen during the week of Oct.14th - 19th, 2013. Erik Noreke, Khronos VP of Business Development was the keynote speaker at the Chinese Ministry of Education's (MOE) faculty training seminar on Oct.14th at Tsinghua University. More than 200 professors from cities all over China participated in this certified training program to learn more about the Khronos Group and their APIs.

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Learn about the 13 application areas where OpenCL can be used

Which algorithms map best to GPUs and other vector-processors? What kind of algorithms are faster when using accelerators and OpenCL? StreamComputing investigates new problem spaces based on a starting point from “The 13 (computational) dwarfs of OpenCL” document by Professor Wu Feng and his group from VirginiaTech.

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Altera SDK for OpenCL is First in Industry to Achieve Khronos Conformance for FPGAs

Altera announced that its SDK for OpenCL is conformant to the OpenCL 1.0 standard and is now included on the Khronos Group list of OpenCL conformant products. Altera is the only company to offer an FPGA-optimized OpenCL solution, allowing software developers to harness the massively parallel architecture of an FPGA for system acceleration. Altera will demonstrate its OpenCL solutions at the 2013 Linley Processor Conference, being held October 16-17 in Santa Clara, Calif.

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Goo Technologies finds that the majority of americans play browser-based games

Goo Technologies creates HTML 5 high-end graphics for games and interactive visualizations on the Web and is the company behind the Goo Engine. The findings of their 2013 State of Browser Gaming Index are out, and guess what, over half of americans play browser based games. This bodes well for WebGL. Goo Technologies is a web technology company whose aim is to make all digital experiences instantly available on all devices, everywhere using HTML5 and WebGL.

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Futuremark Updates PCMark 8 with Windows 8.1 support and new OpenCL options

PCMark 8 now includes support for Windows 8.1 and some cleaned up OpenCL options.

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A Look at Altera’s OpenCL SDK for FPGAs

AnandTech takes a look at Altera's OpenCL SDK for their FPGA. Altera introduced a private beta for OpenCL on FPGAs late last year and the SDK has now been made public. Altera's implementation is built on top of OpenCL 1.0 but offers custom extensions to tap into the unique features of FPGAs.

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OpenGL ES 2.0 GPU Core at less than 1 mm square total silicon area

Vivante Corporation announced an area-optimized version of its GC series OpenGL 2.0 ES GPU cores for Wearable and other IoT devices. Featuring the industry's tiniest GPU core, less than one mm2, the GC400 gives MCU/MPU silicon vendors a simple plug-in solution and complete IoT software stack that easily adds full-featured smartphone graphics capabilities to any product line.

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