API related related stories

Imagination adds to PowerVR Series6 ‘Rogue’ family with OpenCL and OpenGL ES support

Imagination Technologies, a leading multimedia technologies company, announces the latest IP cores in its ground-breaking PowerVR Series6 GPU core family. The PowerVR G6230 and G6430 GPU IP cores are the latest in a growing family of PowerVR Series6 GPU cores and deliver high compute efficiency while minimising power and bandwidth requirements. Rogue meets requirements for compute APIs including OpenCL 1.x and Renderscript Compute, delivering an optimal balance of performance versus power consumption for mobile and embedded devices. All members of the Series6 family are designed to support all features of the latest graphics APIs including the next generation of the OpenGL ES API, OpenGL 3.x/4.x, and DirectX10 with certain family members extending their capabilities to full WHQL-compliant DirectX11.1 functionality.

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AMD spearheads Heterogeneous System Architecture (HSA) Foundation

AMD is spearheading an effort to better develop and maintain standards for general processing over GPU (GPGPU) programming. The company is leading the creation of the HSA Foundation, a non-profit industry group aimed at standardising and maintaining platforms for the development of applications which use both CPU and GPU hardware of the Heterogeneous System Architecture (HSA).

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Andrew Richards talks about OpenCL’s future

At GDC, SemiAccurate sat down with Andrew Richards of Codeplay to talk about OpenCL’s past, present, and future. The results went in directions we had not been anticipating, especially surrounding the future directions of the language. The video of the interview is available on the SemiAccurate website. The Khronos Group YouTube channel also has a good select of video interviews, including one with Andrew Richards.

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AMD announces CodeXL at AFDS

AMD has announced a new unified profiling and debugging tool for both AMD’s CPUs and GPUs, called CodeXL. CodeXL brings together AMD's GPU compute tools and AMD's CPU compute tools to enable faster and more robust development of OpenCL and GPU accelerated applications.

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Tom’s Hardware tests OpenCL acceleration across photo editing apps

Tom's Hardware tests OpenCL acceleration in Adobe PhotoShop CS6, Musemage, GIMP and a pre-release version of Corel's AfterShot Pro, across five system configurations and looks for patterns in the results including scaling based on GPU horsepower.

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Three-part Webinar Series: OpenCL Programming on Intel Processors

Register today for a webinar series on how to use the Intel SDK for OpenCL Applications to best utilize the CPU and Intel HD Graphics of 3rd Gen Intel Core processors for developing OpenCL applications:

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Khronos Group Meetings in Taipei and Hsinchu in June a success

The Khronos Group just wrapped up another tour in Asia. Slides from the visit and a few photos are available online.

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AMD Continues OpenCL Leadership-First Fully-Conformant OpenCL 1.2 Solution

AMD announced continued leadership in driving OpenCL adoption with availability of the AMD APP SDK 2.7, featuring the first conformant implementation of OpenCL 1.2 and comprehensive support for C++.

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COLLADA Work Group letter updates community on progress

The COLLADA working group would like to share their progress since the March GDC meet-up on making COLLADA robust for the community. As requested by many community members, the COLLADA Conformance Test Suite (CTS) will be open sourced. Also, the OpenCOLLADA project will receive catalyst funding from Khronos to fix outstanding bugs and commence the integration of OpenCOLLADA into the open source test suite. Both the COLLADA CTS and OpenCOLLADA will be moving to Github. The COLLADA work group invites you to sign-up on the COLLADA public mailing list, and give your feedback.

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VexCL: Vector expression template library for OpenCL

VexCL is vector expression template library for OpenCL developed by the Supercomputer Center of Russian academy of sciences. It has been created for ease of C++ based OpenCL development. Multi-device (and multi-platform) computations are supported. The code is publicly available under MIT license.

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