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AMD Developer Summit (APU13) Registration now Open!APU13 is three intensive days that put you at the epicenter of the latest developments in heterogeneous computing, OpenCL™, C++ AMP and related technologies. Join us in sunny San Jose, California Nov. 11-14 for exclusive demonstrations, OpenCL™ and C++ AMP tips and much more, including prestigious keynote speakers. Register today.
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New Release – APP SDK v2.8.1 for OpenCL™ DevelopmentAMD Accelerated Parallel Processing (APP) SDK v2.8.1 is now available. The SDK also includes samples for AMD’s C++ template library, codename Bolt, as well as samples for the latest OpenCL™ accelerated OpenCV (Open Computer Vision) library. Learn more.
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BOLT v1.0 ReleaseBolt v1.0 source code has been released on GitHub. Bolt provides an STL compatible library of high level constructs for creating accelerated data parallel applications. Release v1.0 includes numerous features, including several performance optimizations, TBB multi-threaded code paths for several routines, serial code paths for all routines and more. Learn more about Bolt.
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New Release – AMD CodeXL v1.2 A new version 1.2 of CodeXL is available for download. AMD CodeXL is a comprehensive tool suite that enables developers to harness the benefits of AMD CPUs, GPUs and APUs. It includes powerful GPU debugging, comprehensive GPU and CPU profiling and static OpenCL™ kernel analysis capabilities. Read about feature improvements in the blog by Marty Johnson, director of Product Management or download the v1.2 release here.
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Computer Vision with OpenCL™ AccelerationExciting developments are unfolding in the world of computer vision this year! With the latest releases of OpenCV (the world’s most popular computer vision library), your applications can now tap the full power of modern heterogeneous computing. Read more in this blog post by Dr. Harris Gasparakis, the OpenCV-CL project manager, technical lead and evangelist. More...
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HSAIL-based GPU offload: the Quest for increasing Java Performance BeginsSumatra is the first open source project that aims to integrate GPU offload capabilities directly into the JVM. This blog provides insights into how Java programmers can leverage HSA to increase application performance. More...
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