AMD just released two new FirePro GPUs. The FirePro 2270 using only 15W at full load fully supports OpenGL 4.1. Designed for professional use in CAD workstations and rendering systems, the budget-end FirePro 2270 card has a low-profile design, passive cooler, and is intended to replace the actively-cooled FirePro 2250.
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).
The Belgian scientist Johan Gielis discovered a mathematical formula to describe many shapes existing in nature. This formula is called the "Super Formula". To demonstrate GPGPU and to show that it can be used for many purposes including simply having some fun, we developed the "SuperShaper". A tool that uses OpenCL to create very high-detail 3D models using the Super Formula.
These OpenGL Programming course help application programmers master platform-independent graphics programming using OpenGL. Students learn to create interactive, animated applications displaying wire-frame and solid 3D models controlled by user input and how to add lighting, textures, and other effects to increase realism. Newer OpenGL topics such as using vertex-buffer objects for better performance, and vertex and fragment shaders for advanced shading techniques are introduced. Courses will be offered in March, May and October in California, the UK and in Asia if the demand is there. Full details and information are available online.
After the success of the first seven entries to the ShaderX book series, of GPU Pro and the soon to be released GPU Pro 2, we are looking for authors for GPU Pro 3. The upcoming book will cover advanced rendering techniques that run on the DirectX or OpenGL run-times, or any other run-time with any language available. It will include topics on: Geometry Manipulation; Rendering Techniques; Handheld Devices Programming; Effects in Image Space; Shadows; 3D Engine Design; Graphics Related Tools; Environmental Effects and a dedicated section on General Purpose GPU Programming that will cover CUDA, DirectCompute and OpenCL examples. Proposals are due by March 17th, 2011. Contact details, an example proposal, writing guidelines and a FAQ can be downloaded from gpupro3.blogspot.com.
The Khronos Group just wrapped up another DevU, this time in Seoul. Presentations slides from all the sessions are now online. Some of the Khronos APIs covered at this DevU were OpenGL ES, OpenCL, OpenGL, OpenGL SC, OpenVG and OpenMAX and OpenSL ES by AMD, ARM, DMP, DrawElements, HUONE, NVIDIA, Rightware and Samsung and Takumi. A complete schedule of events is available in our event archives.
The Khronos Group is hosting a Khronos Developer University co-located with SIGGRAPH Asia. Numerous Khronos members have joined together with each member taking a demonstration suite to create a large number of exciting demos in the Khronos Pavilion on the SIGGRAPH trade show floor. On December 17th Rightware is sponsoring a Beer and Demo Social. Complete dates, and schedules are available on the Khronos website. The Khronos Group has just wrapped up very successful events in Beijing and Tokyo.
The Khronos Group just wrapped up a DevU and press luncheon in Beijing. Presentations slides from all the sessions are now online. Some of the Khronos APIs covered at this DevU were OpenGL ES, OpenCL, OpenGL, OpenVG and OpenMAX and OpenSL ES by Vivante, ARM, Rightware, HUONE and NVIDIA. A complete schedule of events is available in our event archives.
A few advantages to using OpenCL on the CPU are that results are on the CPU for further processing, CPU-code can be mixed with OpenCL and specific algorithms can be processed faster because there is no PCIe-overhead. Streamcomputing has a closer look at at why you may find OpenCL on the CPU useful for your own work.