Michael Smith posted on his twitter page this morning that WebGL has appeared in the Mozillatrunk. It was just three days ago that WebGL was first noticed in WebKit. From the homepage of Michael Smith, “I joined the W3C in 2007 as part [of] the W3C Mobile Web Initiative. I am involved with the work on The HTML Markup Language and on standards related to browsing technologies; in particular, the phenomenon known as HTML5, as well as other standards related to Web Applications.”
Pixelux will work with AMD to develop an OpenCL accelerated Digital Molecular Matter engine. Pixelux are the folks who developed the Digital Molecular Matter engine used by Lucas Film for some of their effects. Recently, Pixelux released an end user plug-in version of the Digital Molecular Matter for Maya.
The Khronos Group hosted a series of OpenCL tutorials at the Hotchips 2009 event in August on high performance chips. All of these OpenCL tutorials are now online in the Khronos Developers Library. Included are tutorials from AMD, EA, Intel, Nokia, NVIDIA, and of course the Khronos Group.
While OpenCL is very similar in many respects to NVIDIA’s CUDA, it adds features to take advantage of other targets; and though it’s quite complex, it has the potential to deliver very high performance, and is much easier than trying to map your computation into OpenGL or graphics primitives. So says Michael Wolfe, with over 30 years in both academia and industry on developing compilers, and is now a senior compiler engineer at The Portland Group, Inc., a wholly-owned subsidiary of STMicroelectronics, Inc.
NVIDIA released a new OpenCL Visual Profiler for Windows and Linux for developers. Leveraging the extensive performance instrumentation in NVIDIA’s OpenCL drivers and hardware performance signals designed into NVIDIA GPUs, the OpenCL Visual Profiler provides developers with insight into performance bottlenecks and opportunities for optimization. NVIDIA also released a Best Practices guide for OpenCL.
The World’s Premier Super Computing event, SC09, will hold its 22nd annual event in Portland Oregon this November. This year, more than 275 exhibitors with 40 participating for the first time, have the SC09 organizers expecting a full house at the Oregon Convention Center. One of the first time exhibitors includes the Khronos Group. The Khronos Group will have booth #242 this year and will undoubtedly be extolling the virtues of OpenCL. You will find complete details of tutorials, wokrshops and sessions on the Khronos website.
OpenTK is an advanced, cross-platform library that provides Mono/.Net OpenGL, OpenGL ES, OpenAL and OpenCL bindings. The latest version adds support for all OpenGL ES extensions, significantly improves the OpenCL bindings and the ARB_imaging subset of OpenGL. A new compatibility module now allows Tao framework applications to run on OpenTK and improves behavior on broken xlib implementations. Finally, this version adds support for the iPhone platform via the MonoTouch project.
All NVIDIA CUDA-Enabled GPUs Shipped by Apple Supported under New Operating System. OpenCL on the NVIDIA® CUDA™ architecture enables applications to use the CPU and the GPU together as co-processors. NVIDIA’s integration of the CUDA architecture across its brands and segments enables it to offer Apple users a broad selection of 10 GPU models officially supported by Snow Leopard.
Arstechnica has written a 23 page in-depth look at Snow Leopard on OS X. Part of that interesting in-depth look are twopages of in-depth coverage on OpenCL. The article is well written and a good informative read.
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 benchmarkapplications out, so you can see just what OpenCL can do for you.
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.
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.
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. MacResearch.org has done a great overview of what OpenCL is and a beginners tutorial on how it works and how to use it.
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.”
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.