The Khronos Group has posted an updated version of the OpenCL 1.x Reference card online. This is a free download in PDF format.
NVIDIA is hosting two more seminars over the next few days which cover 'Best Practices for OpenCL Programming', and 'An Introduction to GPU Computing and OpenCL'. The series will cover many topics including C for CUDA, programming to the OpenCL™ API , using DirectCompute and performance optimization techniques. The Webinars are presented by NVIDIA Developer Technology Engineering team and have NVIDIA staff online to answer Questions.
ExtremeTech discusses GPGPU computing on Windows 7. "Both Nvidia and ATI are committed to supporting DirectX 11 on their newest boards; and both now have early OpenCL drivers out as well. In particular, I expect both of their Windows 7 drivers will support OpenCL." says Michael Miller.
As OpenCL gains a descent foothold in the SuperComputing world, more researchers are starting to take notice. The folks at Scientific American point out the pitfalls that have slowed the progress of supercomptuing to-date, and give merit to the new solutions offered by the Open Computing Language (OpenCL). Seeing how researchers at Virginia Tech use a computer equipped with both a CPU and an AMD GPU to compute and visualize biomolecular electrostatic surface potential 1,800 times faster--from 22.4 hours to less than a minute--than they could with a similar computer driven only by a CPU, is just the beginning.
The new ATI Stream SDK v2.0 - beta 4 adds OpenCL GPU support to the existing CPU support. Using AMD's Khronos Group Conformant OpenCL implementation, developers will be able to take one source code base and re-target it to CPUs or GPUs - it will run on both - to take advantage of your entire platform. ATI Stream SDK Beta 4 also sees Microsoft® Windows® 7 and native Microsoft® Windows® 64-bit support. The Khronos Group has an active forum discussion available.
MacResearch has posted part 6 in their series of OpenCL tutorials. In this episode, a real-world code that has been parallelized by porting to the GPU. The use of shared memory to improve performance is covered as well as a discussion of synchronization points for coordinated work within a work-group. Source code is provided.
NVIDIA just released its first OpenCL-conformant graphics driver to the public. Up to now, it was only available to registered members of its GPU Computing developers program. Get your OpenCL driver today.
A new project on Google code offers up Java/Scala bindings for OpenCL. OpenCL4Java is a library that provides three levels of Java bindings for OpenCL: C-style wrappings auto-JNAerated by JNAerator; Thin Object-Oriented wrappings that hide away the complexity of the C-style wrappings; ScalaCL, which is a kind of "parallel expressions for dummies" in Scala. A thread on the OpenCL message boards is available for feedback.
NVIDIA has released the first public OpenCL conformant GPU drivers as well as a powerful performance profiling tool and an OpenCL Best Practices Guide. The OpenCL Visual Profiler uses the extensive performance instrumentation in NVIDIA’s OpenCL drivers and hardware performance signals designed into NVIDIA GPUs to provide developers with insight into performance bottlenecks and opportunities for optimization. The OpenCL Best Practices Guide designed to help OpenCL developers programming for the CUDA architecture implement high performance parallel algorithms and understand best practices for GPU Computing. The OpenCL drivers, Visual Profiler, and Best Practices Guide are all available on the NVIDIA developers website.
MacResearch initially launched its OpenCL Tutorials in August. Now they have five OpenCL tutorials in video format. The latest in their series is a video Questions and Answers session based on feedback from Episode 4 - Memory Access and Layout. If you are just getting started with OpenCL, these video tutorials from Mac Research make a great starting place.