HT4U staff have benchmarked 55 GPUs using three tests with three applications compatible with OpenCL. Especially interesting are the results with the 3D rendering application LuxRender. The article is written in Portuguese, but the results are easy to understand for all.
AMD gDEBugger is a real-time OpenCL and OpenGL debugger and memory analyzer integrated into Microsoft Visual Studio. The new v6.1 adds concurrent debugging of multiple kernels, greatly improved overall kernel debugging performance, especially in scenarios where large sections of code are being skipped, and overall application stability improvements both for the client (Visual Studio) and server (debugged application) sides.
AMD APP SDK v2.6 is officially released. Notable features are enhanced performance, multi-GPU support on Linux, inclusion of the Khronos C++ wrapper, use of OpenCL kernels in data-driven applications and a preview of OpenCL 1.2 and the static C++ kernel language.
The Khronos Group has posted several presentation slide sets online from SIGGRAPH Asia 2011. Included are slides sets covering KITE, OpenGL, OpenGL ES, OpenGL SC, OpenVG, OpenMAX, OpenSL ES, StreamInput, WebGL and WebCL.
In this talk form the 2011 LLVM Developers Meeting, Intel presents their OpenCL SDK 1.5 and its core technology the vectorizer compiler.
The video presents an overview of the implicit vectorization module and discusses experience with the LLVM compiler toolkit. The presenter also presents some of the design decisions and and plans for future features (future instruction sets, vector select, predicated instructions, etc).
The slide sets from Devcon 5 in Santa Clara in December 2011 are now online. There are a total of 3 slide sets covering WebGL and WebCL.
A paper recently published by the Astronomical Society of Australia on how GPGPUs are dramatically changing the landscape of high performance computing in astronomy.This paper identifies and investigates several key decision areas, with a goal of simplifying the early adoption of GPGPU in astronomy. The merits of OpenCL are considered as an open standard in order to reduce risks associated with coding in a native, vendor-specific programming environment, and present a GPU programming philosophy based on using brute force solutions.