MainConcept GmbH has announced a strategic collaboration with AMD to accelerate digital video encode. MainConcept plans to leverage ATI Stream technology from AMD and OpenCL™ standards to accelerate the encoding capabilities within its H.264/AVC (Advanced Video Coding) Pro Encoder codec package by taking advantage of available graphics processors (GPUs) in PCs. MainConcept will be demonstrating this encode acceleration for the first time on AMD's latest professional graphics solution, the ATI FirePro(TM) V8800, at the 2010 NAB Show April 12-15 in Las Vegas, Nevada. MainConcept is a wholly-owned subsidiary of DivX, Inc. (Nasdaq: DIVX) and one of the world's premier providers of video and audio codecs and software development kits (SDKs) to the consumer, broadcast and professional markets
Introducing the QtOpenCL library, which wraps the OpenCL 1.0 API in a Qt-style API. It takes the pain out of OpenCL initialization, program compilation, and kernel execution. It also provides convenience functions for interfacing to existing Qt facilities such as QImage and QtOpenGL. QtOpenCL is still a work in progress, distributed as a standalone module outside of the normal Qt source repositories.
The new ATI FirePro V8800, the workstation equivalent to the Radeon HD 5870, provides 1600 stream processors for more than double the computational power of it's predecessor (V8750) - 2.6 Teraflops!, 2GB GDDR5 RAM, 4 Display Port outputs, Stereo3D, CrossFire Pro support, and Windows & Linux drivers. For this new FirePro line, AMD is strongly emphasizing support for OpenGL 4 and OpenCL open standards. Performance reviews are already out from HotHardware and most notably 3DProfessor. General consensus is: performance at a completely new level.
Fixstars Corporation announced the release of their OpenCL Programming Book which is available on Amazon Kindle, Apple iPad and Fixstars' website. More information on the OpenCL book is available on the Fixstars website.
This tutorial shows basics of setting up OpenCL with a pre-made initializer OpenCLTemplate and covers from very basic vector-sum topics to a real-life OpenCL sample application. This tutorial presents OpenCL C99 sample code.
Geist Software Labs has released the first version of OpenCL Studio for beta testing. OpenCL Studio combines OpenCL and OpenGL into a single integrated development environment that allows you to visualize OpenCL computation using powerful 3D rendering techniques. The editor hides much of the complexity of the underlying APIs while still providing flexibility via the Lua scripting language. Integrated source code editors and debugging capabilities for OpenCL, GLSL, and Lua, as well as a toolbox of 2D user interface widgets provide a framework for a wide range of parallel programming solutions.
Developers that have a CUDA codebase and wish to be using OpenCL, here is a small tool to help you make that move. Swan is an open source GPL'd command line tool that aids the reversible conversion of existing CUDA codebases to OpenCL. A complete list of what Swan can and cannot do is available on their website.
The Open Toolkit is an advanced, open-source C# OpenGL/OpenAL/OpenCL wrapper. It is fast, easy to use and is compatible with all .Net/Mono languages (C#, VB, C++, F#, Boo) and all major platforms (Windows, Mac OS X, Linux, BSD, Solaris, iPhone/iPad). This release introduces a NSIS-based installer for Windows, an improved build system and various documentation and stability fixes. Users of previous versions are strongly encouraged to upgrade. Downloads available here. With the 1.0 release imminent, the Open Toolkit is actively looking for packagers and maintainers for various platforms. If you are interested in creating a package for a specific platform please contact “the_fiddler” on http://sourceforge.net or create an issue report on http://www.opentk.com.
There are a number of upcoming training course covering OpenGL, OpenGL ES, GLSL and OpenCL. A complete list of upcoming courses and events are available on the Khronos Website events page.
NVIDIA has released a new version of its GPU Computing SDK. This version supports Fermi architecture and will allow GPU computing developers to prepare their code for Fermi-based graphics cards. GPU Computing SDK is made up of CUDA 3.0 Toolkit as well as the OpenCL SDK. The official NVIDIA page is here.