Khronos Group News Archives

Arstechnica in-depth OpenCL coverage on the Mac platform

Arstechnica has written a 23 page in-depth look at Snow Leopard on OS X. Part of that interesting in-depth look are two pages of in-depth coverage on OpenCL. The article is well written and a good informative read. Read More

DMP announces a two day getting start GLSL Programming training course

DMP has announced a new two day getting start GLSL Programming training course on October 8th and 9th 2009. The OpenGL ES roadmap has been tailored to the diverse needs of the embedded industry and contains two tracks with "1.X" and "2.X" specification roadmaps that will evolve in parallel. The 1.X roadmap will continue to be developed for new-generation fixed function 3D accelerators while the 2.X roadmap will enable emerging programmable 3D pipelines.This course introduce the world of programmable pipeline by explaining basic topics of the GLSL(OpenGL Shading Language) which is a core feature of OpenGL ES 2.x and OpenGL 2.x. Read More

OpenCL: Parallel programmers’ new best friend

Apple's Snow Leopard hit the streets friday as the first major OS to support OpenCL. OpenCL, the Open Computing Language, was originally proposed by Apple to support parallel programming on GPUs and handed over to the Khronos Group, the same independent standards organization that manages the OpenGL standard for 3D rendering. Support for OpenCL may start with Snow Leopard but it will go well beyond that. AMD and Nvidia will have OpenCL drivers for their GPUs under Windows and Linux. AMD and Intel will support OpenCL on their CPUs (including Intel's Larrabee). AMD has already shipped its first OpenCL implementation for its Athlon and Opteron processors. For those folks with OpenCL already up and running on their Apple computers under Snow Leopard, there are two benchmark applications out, so you can see just what OpenCL can do for you. Read More

Mogware releases solution

Collada.NET is a reliable and robust solution for reading, manipulating, and saving collada scenes, animations or models in .NET applications including vertex manipulation, texture library access, support for animation keys, and more. The extensible 100% C# COLLADA reader and writer that eliminates the need to marshal in from the COLLADA DOM. While trying to code a 100% C# toolset, it didn’t take long for us to tire with the constant need and complexity of marshaling in from the COLLADA DOM. We scoured the web searching for a .NET solution, preferably in C#, that would enable us to more easily read, write and manipulate data but never found anything we were completely happy with.  We decided to create our own .NET solution in C#.

We’re using our library in our MogBox tool to reprocess complex 3D content as seen in this demo video. Our library made it possible for us to build this strictly C# tool that truly accomplishes some amazing feats reprocessing complex 3D content. We believe in this community and that through sharing technology, the whole can become stronger.  We simply can’t express how much we’ve enjoyed being able to stay in a .net environment without having to marshal anything.  We hope that by releasing our solution, others will be able to get further in their own development efforts more quickly. You can learn more about our solution on our web page.

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Google SketchUp makes COLLADA the official first-class format

Google SketchUp will switch to COLLADA for its official file format in the upcoming free version of SketchUp. John Bacus, SketchUp Product Manager, wrote "In our next release, we're going to make COLLADA an official first-class format for all modelers. You'll be able to import and export COLLADA models, as well as COLLADA models wrapped up in the KMZ format for Google Earth, with any version of SketchUp." Read More

Programmers Tutorial on Skeletal animation using COLLADA, C++ and OpenGL

A member of the COLLADA message boards has written a detailed tutorial for programmers on implementing Skeletal Animations. Using COLLADA along with C++ and OpenGL, this tutorial will start a programmer with a high level overview in reading and understanding COLLADA file formats, through to a complete implementation using C++ and OpenGL. Read More

OpenCL Video Tutorial Part Two - OpenCL Fundamentals

MacResearch has posted part two in their series of OpenCL tutorials that we first spoke of here. This second installment gives an overview of OpenCL Objects and the steps involved in running an OpenCL application. Read More

Nokia’s new Maemo N900 with OpenGL ES 2.0 support

Nokia's new N900 pocket computer is built around the powerful ARM Cortex-A8 processor, with up to 1GB of application memory and OpenGL ES 2.0 graphics acceleration and true multi-tasking as on a PC. Other hardware highlights include a high-res WVGA touchscreen, full physical slide-out QWERTY keyboard, 32GB of storage expandable up to 48GB with a microSD card, a 5-megapixel camera with Carl Zeiss optics, built-in A-GPS, an FM transmitter, and up to 9 hours of talk time. Read More

PyOpenCL functional Python wrapper around OpenCL released

PyOpenCL has been released. This OpenCL wrapper for Python has complete documentation and a wiki setup. Key features of PyOpenCL are: object cleanup tied to lifetime of objects; the full power of OpenCL’s API at your disposal with every obscure get_info() query and all CL calls are accessible; automatic error checking; base layer is written in C++; complete documentation; a liberal open-source and free for commercial, academic, and private use under the MIT/X11 license. If you have feedback on this wrapper, you can contribute to a live discussion in the Khronos Message Boards. Read More

OpenCL Video Tutorial - Introduction to OpenCL

With the launch of Snow Leopard this Friday, now is the time to start getting revved up for some of the new technologies coming with this release. One of them, OpenCL. has done a great overview of what OpenCL is and a beginners tutorial on how it works and how to use it. Read More

AMD publishes ‘Hello World’ OpenCL tutorial online

AMD Architect Benedict Gaster recently wrote an 'Hello World' tutorial providing a simple introduction to OpenCL. "OpenCL is a young technology, and, while a specification has been published, there are currently few documents that provide a basic introduction with examples. This article helps make OpenCL easier to understand and implement." Read More

“Beyond Programmable Shading” SIGGRAPH 2009 course notes and slides now online

If you missed the "Beyond Programmable Shading" courses at Siggraph 2009, or you missed Siggraph 2009 altogether, no worries: the course notes and PDF slide presentations are now available online compliments of the Institute for Data Analysis and Visualization at UCDavis University of California. Aaron Lefohn from Intel and Mike Houston from AMD organized these courses which included experts on advanced rendering, graphics hardware, and parallel computing for graphics. Panelists from the Q&A were from DICE, Epic Games, Stanford Univeristy, Chalmers University and MIT. Read More

Khronos announces their participation at ARM techcon3 2009

The Khronos Group will be participating at this years ARM techcon3 conference in Santa Clara on October 23rd. The presentation is scheduled for Friday October 23rd from 3 - 3:45PM in Room 207. Exact details of the talk are forthcoming. Read More

Khronos Members to present OpenCL tutorials at Hot Chips 2009

Members of the Khronos Group will be presenting a half day tutorial at Hot Chips 21 this August 23rd 2009 between 1:30 and 5:30 in the Memorial Auditorium at Stanford University California. The authors include Neil Trevett from NVIDIA, Mike Houston from AMD, Tim Mattson from Intel, Chris Lamb from NVIDIA, Eric Schenk from Electronic Arts and Kari Pulli from Nokia. Registration fees range from students at $95 to non-members at $220 for the Tutorials. Registration fees for Tutorials include a printed set of tutorial notes, continental breakfast, lunch, coffee break, and invitation to the evening Wine and Cheese Reception on Sunday, August 23, 2009. Read More

Intel Acquires RapidMind

Intel announced that it has acquired RapidMind. RapidMind, a framework for expressing data-parallel computations from within C++ and executing them on multicore processors. RapidMind was founded five years ago to commercialize a University of Waterloo programming system called Sh. RapidMind will continue to sell its platform and support existing customers. Read More

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