The problem with disruption is that it's so… disrupting. This is also what's so attractive about it. The important question is what's on the intended receiving end of that disruption. If it is your competitors' business models and market positions, OpenCL provides a remarkable lever for achieving those objectives.
CEVA announced that it has enriched its CEVA-CV computer vision real-time library to include more than 750 functions. New functions added in the latest CEVA-CV release include feature detection kernels and object recognition algorithms such as Harris Corner, Hough Transform, Integral Sum, Fast, LBP, SURF, HOG, SVM, and ORB detection and matching. CEVA-CV now also includes kernels required by The Khronos Group's OpenVX 1.0 specification, which is set to become the key standard for cross-platform acceleration of computer vision applications and libraries.
Tom Olson, work group chair of the OpenGL ES API and director of graphics research at ARM has a great blog entry on ASTC texture compression. Not too technical and includes some great examples and lots of links. A great read for the middle of the week.
OpenCL Integrated Performance Primitives (OpenCLIPP) is a library providing processing primitives (image processing primitives in the first version) implemented with OpenCL for fast execution on dedicated computing devices like GPUs. It was designed to be simple to use and to have low overhead. Two interfaces are provided: C Interface similar to the Intel IPP and NVIDIA NPP libraries and C++ Interface. An OpenCL SDK is required to build the library.
Amdahl Software announced the latest major update to its flagship Eclipse plug-in, OpenCL CodeBench. With the recent 1.2 release, developers can now benefit from automatic host-code generation as they are coding their OpenCL kernels.
Intel is offering a tutorial demonstrating how SPIR can be generated by an Offline Compiler tool, and be consumed using the latest Intel OpenCL SDK. These capabilities open the door for other potential languages and programming models to access many heterogeneous platforms in a standard, portable and efficient way.
Xilinx technology experts will present and demonstrate solutions including acceleration of Monte Carlo options pricing simulations on x86 platform and the OpenCL design environment for Xilinx All Programmable devices.
OpenCL.NET is a .NET library, providing full API bindings for the OpenCL standard. Using GPU acceleration and OpenCL.NET, it is possible to achieve great performance in .NET based applications. CLFORTRAN aims to simplify integration of GPU resources for scientific computing in various fields of science that heavily relies on Fortran codes.