OpenCOLLADA and the COLLADA Conformance Test Suite repositories are now both hosted on GitHub. As a reminder, please note that to bring integration of OpenCOLLADA plugins within the test suite and bug fixing, Khronos has issued a Request for Quotations (RFQ). This RFQ is open for bidding and you are welcome to request a copy through the public_collada mailing list. Last but not least, while at Siggraph, do not forget to stop by our both and to bring your demos! The COLLADA working group looks forward to hearing from you!
Come to the Aug 8th OpenGL BOF 2th Anniversary party and YOU get the presents! There will be lots of prizes being given away including 100s of Special 20th Anniversary edition “OpenGL T-shirts; numerous raffles prizes – such as books and cool tech gadgets and 150 “OpenGL 20th Anniversary” Pint glasses as prizes for the basketball free throws and ping pong playoffs at the OpenGL 20th Anniversary party. We look forward to seeing you there!
If you could not make it to the WebGL Camp Europe this year, don't despair. All the videos and slide decks are now online. There's a ton of great stuff and well worth the time to watch the videos.
At Google I/O ZiiLABS, in co-operation with Symphony Teleca, demonstrated how OpenCL can be used to deliver significant compute acceleration on Android platforms. The tablet demonstration of a new camera application, built by Symphony Teleca, uses OpenCL to implement a number of key image processing effects, comparing the performance of the algorithms implemented in both 'C' and OpenCL. The OpenCL code exploits the performance and flexibility of the underlying ZMS-40's media processing array to deliver significant advantages over CPU-only code.
Altera sees significant growth for FPGAs in the server market from the OpenCL family of multi-core programming languages says its head of strategy.
Tech Source Targets GPGPU Applications with Launch of Rugged Condor 3000x-cc XMC Video Graphics Card
Tech Source, Inc. has announced a conduction cooled and rugged version of its Condor 3000x XMC processor targeted at general purpose graphics processing unit (GPGPU) applications. The Condor 3000x-cc XMC card is based on the AMD RadeonTM E6760 AIB. With 576 GFLOPs of peak single precision floating point performance and 480 individual processing units (shaders), the Condor 3000 graphics processor is particularly well suited for highly parallel computations and other GPGPU applications such as image analysis, radar, sonar, and video surveillance.
AMD graphics boards are used in 24 of the top 100 supercomputers. The complete list can be found here.
Imagination Technologies, a leading multimedia technologies company, announces the latest IP cores in its ground-breaking PowerVR Series6 GPU core family. The PowerVR G6230 and G6430 GPU IP cores are the latest in a growing family of PowerVR Series6 GPU cores and deliver high compute efficiency while minimising power and bandwidth requirements. Rogue meets requirements for compute APIs including OpenCL 1.x and Renderscript Compute, delivering an optimal balance of performance versus power consumption for mobile and embedded devices. All members of the Series6 family are designed to support all features of the latest graphics APIs including the next generation of the OpenGL ES API, OpenGL 3.x/4.x, and DirectX10 with certain family members extending their capabilities to full WHQL-compliant DirectX11.1 functionality.
According to the semiconductor research firm Jon Peddie Research, Qualcomm is shipping the most mobile graphics processors. The research firm found that nearly 900 million mobile GPUs of all types shipped in 2011, and projects unit shipments to surpass 1 billion in 2012. The mobile GPU leader, Qualcomm, owned 25 percent of the market last year, while runner-up Intel had a 19 percent share.
AMD is spearheading an effort to better develop and maintain standards for general processing over GPU (GPGPU) programming. The company is leading the creation of the HSA Foundation, a non-profit industry group aimed at standardising and maintaining platforms for the development of applications which use both CPU and GPU hardware of the Heterogeneous System Architecture (HSA).