The Khronos Group has expanded the OpenCL section of their public forums, giving an area for users and coders to mingle together. The forums now contain categories for beginner and advanced coders, hardware and software issues for end users, OS specific question and help, and an area to discuss SDK's, toolkits and wrappers. The Khronos Group message boards are visited by the developers behind all the Khronos API's on a regular basis, and offer the best place to get help and give help. We look forward to seeing you on the Khronos forums soon.
MovieGate developer Christophe Ducommun has been optimizing his application for the new Snow Leopard operating system with Grand Central Dispatch and OpenCL. His results show approximately 50% increase in video encoding speed when compared to the plain Leopard, while also reducing the CPU load during video decoding by passing some of the work to the graphics processing unit. These results highlight the potential performance gains OpenCL and Grand Central Dispatch can bring as developers begin to take advantage of them.
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.
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.