MacResearch is an open and independent community for scientists using Mac OS X and related hardware in their research. MacResearch has a good collection of OpenCL tutorials as well as tutorials covering many other topics.
MVTec is a developer of software products for machine vision, used in, for example, the semiconductor industry for board, wafer and die Inspection. Halcon 10 will take advantage of GPUs based on the OpenCL standard to make optimum use of available compute power.
AMD is offering a series OpenCL webinars to discuss and answer questions about data parallel computing on GPUs leveraging the OpenCL™ architecture. These webinars will include beginning and advanced tracks offered at varying times for your convenience.
Yes is the short answer. An informative run down on where OpenCL is in the all important buzz word of the day: Cloud-computing.
The new Bullet 2.77 Physics SDK features OpenCL cloth simulation, contributed by AMD under the permissive ZLib license. The OpenCL implementation has been tested on AMD and NVIDIA GPUs for Windows and Linux as well as the Apple OpenCL implementation for GPUs on Mac OSX Snow Leopard. The full source code and precompiled Windows executable demos are available for download.
Enj appears to be enjoying the GTC 2010 Conference this week. He brings us an inside view of the conference, and a feel of the different talks on OpenCL and CUDA. If you have 5 minutes, pop over to enja.org, it'll be worth your time.
At the GPU Technology Conference in San Jose on Monday, September 20th, join Mark Kilgard for a pre-conference tutorial on NVIDIA's OpenGL support. Mark will discuss and demonstrate features of OpenGL 4.1 including programmable tessellation.
Acceleware Corp announced their fall 2010 comprehensive CUDA/OpenCL training schedule co-sponsored by Microsoft Corp. Acceleware's training classes are designed to support the HPC communities GPU programmers using CUDA and OpenCL, along with instruction on Microsoft's HPC Server 2008 cluster operating systems. There are currently five course schedule between mid-October and mid-December, with each course lasting 5 days. You can find an overview of the courses on our Khronos Group events page. Complete details are available on the Acceleware training website.
AMD Developer Central has a new section that offers OpenCL Code Samples. Although only one sample right now, this looks like a promising page for those getting started with OpenCL. The Khronos Group also has a section with numerous OpenCL samples and tutorials on their site.
OpenCL framework to accelerate an EMRI modeling application using the hardware accelerators – Cell BE and Tesla CUDA GPU. The main goal of this work is to evaluate an emerging computational platform, OpenCL, for scientific computation. Results show OpenCL binary on a par with CUDA SDK. Baseline is an AMD Phenom 2.5Ghz CPU.