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AMD Offers GPGPU OpenCL Course to University Students

AMD has teamed up with the University of Illinois to urge students in the development of codes for the company’s GPGPU inside Fusion processors.
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API for data parallel Java using OpenCL

API for data parallel Java (Aparapi) allows Java developers to take advantage of the compute power of GPU and APU devices by executing data parallel code fragments on the GPU rather than being confined to the local CPU. It does this by converting Java bytecode to OpenCL at runtime and executing on the GPU, if for any reason Aparapi can't execute on the GPU it will execute in a Java thread pool.
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NVIDIA announces first HPC and GPU Computing Group in India

HPC and GPU Computing group is India's first informal special interest group founded to bring together GPU users from different fields and experience levels and all parts of India to learn and share their ideas and creations at friendly meetings.
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OpenCL: The Future of Accelerated Application Performance Is Now

This white paper is a followup to the AMD FirePro webinar "OpenCL & the Future of Desktop High Performance Computing in CAD" (now on-demand). It is a worthwhile introduction to what OpenCL and general-purpose computing across both CPUs and GPUs. In addition to the technology, it discusses why use an open standards / non-proprietary approach and the rapid growth rate of OpenCL. Finally it describes some of the applications that will take immediate advantage of OpenCL including numerical computation and high-end visualization in CAD/CAM/CAE or real-time visualization/presentation, real-time video processing, and physics simulations in DCC/ Media & Entertainment.
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AMD FirePro V3900 offers OpenCL workstation performance and reliability

The newly announced AMD FirePro V3900 workstation graphics card is powered by the Turks GPU w/ 1GB of DDR3 memory, 480 stream processors and support for up to 5 display devices using AMD Eyefinity and DisplayPort 1.2. The GPU is designed to deliver OpenGL and OpenCL performance, reliability and compatibility of a high end graphics card at an entry level price point.
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Call for papers: GPU Design Patterns Book

Open GPU invites original and innovative performance-oriented contributions from all areas of High Performance Computing (HPC) targeting hybrid GPU / CPU architectures, including hardware architectures, software tools or data structures. Topics can include, Compilation tools for GPU, New GPU oriented algorithm approaches, Parallel and distributed architectures, Modeling, OpenCL and CUDA performance analysis experiences, Hybrid architecture benchmarks, HPC languages, and more. Details are in an online PDF.
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ARM announces DS-5 version 5.9 Toolchain with support for Mali graphics

The ARM Development Studio 5 (DS-5™ v5.9) toolchain with additional support for graphics analysis on ARM Mali Graphics Processing Units (GPUs), is now available for download by developers. The ARM DS-5 v5.9 toolchain provides significant benefits to semiconductor suppliers and OEMs, as well as mobile application and game developers, by enabling improved system visibility and decreased time-to-market.
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The Wolfe in the Heterogeneous Programming Jungle

Michael Wolfe, Compiler Engineer of The Portland Group tries to untangle the web of heterogeneous programming. A high level overview comparing various systems, including OpenCL.
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MulticoreWare announces Multicore Cross-platform Architecture OpenCL runtime compiler

MulticoreWare Inc. has announced the Multicore Cross-platform Architecture (MXPA), an OpenCL runtime and compiler, enabling cross-architecture performance from a single, unified codebase. MXPA is designed to preserve the expression of parallelism in OpenCL, independent of vendor hardware and software stack implementation. MXPA currently supports x86 architectures and is being extended to a wide range of platforms from CPUs to DSPs with minimal vendor support.
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GIMP 2.8 RC 1 includes OpenCL acceleration

The OpenCL hardware acceleration features in the Generic Graphics Library (GEGL) were originally developed as part of Google's Summer of Code in 2009 and 2011 and finished over the winter with sponsorship from AMD and help by MulticoreWare. On supported systems, this feature should greatly speed up processor intensive operations. Users have to start the application with the command line parameter GEGL_USE_OPENCL=yes to use OpenCL.
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