NVIDIA Delivers Comprehensive OpenCL Support under Snow Leopard
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.
Introducing an OpenCL Wrapper for Ruby
Barracuda is a simple OpenCL Library for Ruby. There’s currently no CUDA support, however, the auther wants to add support for CUDA down the road after figuring out what’s involved. This basic wrapper currently only supports signed integers and floats, with more functionality promised soon.
PCWorld 101 Graphics Card Primer on GPU’s, OpenGL, DirectX, OpenCL and more
Want to know what a Graphics Processing Unit (GPU) is and why it is important to you? PCWorld has a great getting started primer for folks wanting to know more about GPU's and the things that make them tick. Covering the major players like NVIDIA, AMD / ATI and Intel, and the main API's like DirectX, OpenGL and newcomer OpenCL. Read on to learn about CUDA, ATI stream, SLI and Crossfire and more.
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.
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.
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.
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.
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. 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 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."
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.