The OpenCL University Kit is a set of materials for teaching a full semester course in OpenCL programming. Each lecture includes instructor notes and speaker notes, plus code examples for lectures 2, 3, and 13. A sample application is provided for lecture 9. A number of educational institutions now offer courses in OpenCL programming to help prepare developers for the new era of heterogeneous computing.
AMD recently renamed their OpenCL Stream SDK to AMD Accelerated Parallel Processing (APP). APP is a set of advanced hardware and software technologies that enable AMD graphics processing cores (GPU), working in concert with the system’s x86 cores (CPU), to accelerate many applications beyond just graphics. This update also offers support for AMD E-Series and C-Series platforms (AMD Fusion APUs).
DMP is proud to announce two all new OpenGL ES programming training courses. OpenGL ES programming training I and II will run March 10-11 and March 17-18 2011. Complete details are available online for the Training I and Training II courses in english, and in Japanese.
AMD announced wide-ranging support of OpenGL 4.1 for Microsoft Windows 7, Windows Vista, Windows XP and Linux across select ATI FirePro", ATI FireGL" and AMD Radeon" graphics cards. The new functionality is made possible with the release of the latest professional and consumer graphics drivers, ATI FirePro" and ATI FireGL" unified driver 8.801, and AMD Catalyst" 10.12, available on the AMD website.
AMD has released the FirePro v8.801 driver with full compatibility with OpenGL 4.1 on Windows and Linux. The unified driver is available for the entire current FirePro workstation graphics line (V3800, V4800, V5800, V7800, V8800 and V9800).
OpenCOLLADA was recently updated for both 3ds Max and Maya. OpenCOLLADA is a project dedicated to join efforts using COLLADA within various DCC tools like 3ds Max, Maya, Blender and a fast SDK for reading and writing COLLADA files.
SiSoftware has posted two OpenCL benchmarks online. One addresses GPGPU OpenGL performance, and the second CPU OpenGL performance. The conclusion: There is no reason not to port CUDA code to OpenCL now!
NVIDIA announced a partnership with ARM -- code-named "Project Denver" -- to build ARM-based CPU cores that could power PCs, servers, and supercomputers.
The sample code for the OpenGL ES 2.0 Programming Guide is now available for WebGL, Android 2.2, and iOS 4.2 (in addition to continued support on Windows OpenGL ES 2.0). Additionally, in order to make it easier to provide future updates, the code has been migrated to the opengles-book-samples Google Code project. You can purchase the OpenGL ES 2.- Programming Guide here.
Derek Gerstmann, University of Western Australia and Justin Hensley, AMD presented the course "OpenCL by Example" at SIGGRAPH ASIA 2010. All course notes and supplementary materials are now available online for download. The course presenters are experts on general-purpose GPU computation and advanced rendering from academia and industry, and have presented papers and tutorials on the topic at SIGGRAPH, Graphics Hardware, Supercomputing, and elsewhere. This course demonstrates how to combine traditional rendering APIs with advanced parallel computation using OpenCL (Open Computing Language), a cross-platform API for programming parallel systems such as GPUs.