billdar writes "PS3News is reported on transcoding tool that allows for the conversion of video material on the Full HD format, with the help of a PlayStation 3 with faster than real-time performance. Connected to a PC via a gigabit ethernet, the PS3 performs as an external, dedicated video encoder. All encoding is handled by the PS3 which runs an embedded version of Yellow Dog Linux entirely from ROM, thus shifting the CPU-intensive processing away from the workstation. According to the article, the PS3 "Cell processor clocked a performance of 29 FPS, that is 1.2 times real-time conversion — the cell has a similar performance as the CUDA Badaboom encoder in combination with an Nvidia Geforce GTX-285. By comparison, Intel's current top-CPU, the Core i7 965 XE, does it still at 18 FPS — normal desktop CPUs even create only about 5 FPS.""
Hugh Pickens writes "Dr. Dobb's reports that the graphics processing units (GPUs) available in video gaming computers and consoles are very efficient at manipulating and displaying computer graphics and their highly parallel structure also make them more efficient than a general-purpose central processing unit for a range of complex calculations important to defense applications. "As radar systems and other sensor systems get more complicated, the computational requirements are becoming a bottleneck," says Daniel Campbell. "We are capitalizing on the ability of GPUs to process radar, infrared sensor and video data faster than a typical computer and at a much lower cost and power than a computing cluster." Mark Richards at Georgia Tech Research Institute is leading a team to rewrite common signal processing commands in the Vector, Signal and Image Processing Library (VSIPL), an open standard developed by embedded signal and image processing hardware and software vendors, targeting GPUs supporting NVIDIA's CUDA platform but the underlying principles can be applied to GPUs developed by other companies. Studies have shown that VSIPL functions operate between 20 and 350 times faster on a GPU than a central processing unit, depending on the function and size of the data set. "The results are not surprising because GPUs excel at performing repetitive arithmetic tasks like those in VSIPL, such as signal processing functions like Fourier transforms, spectral analysis, image formation and noise filtering," says Richards. "We've just alleviated the need for engineers to understand the entire GPU architecture by simply providing them with a library of routines that they frequently use.""
Busshy writes "The first hardware video decoder for the DSI has been released and for homebrew fans its plays all DS Homebrew perfectly but doesnt have any ROM loading functionality(no piracy). The DS iPlayer is able to play all the main format of videos such as RMVB, RM, AVI, FLV, MPG, WMV on DS, and no converting, allowing you watching movies and listening to music on DS more convenient."
narramissic writes "In an interview on stage at GigaOm's Structure conference in San Francisco on Thursday, Jonathan Heiliger, Facebook's VP of technical operations, told Om Malik that the latest generations of server processors from Intel and AMD don't deliver the performance gains that 'they're touting in the press.' 'And we're, literally in real time right now, trying to figure out why that is,' Heiliger said. He also had some harsh words for server makers: 'You guys don't get it,' Heiliger said. 'To build servers for companies like Facebook, and Amazon, and other people who are operating fairly homogeneous applications, the servers have to be cheap, and they have to be super power-efficient.' Heiliger added that Google has done a great job designing and building its own servers for this kind of use."
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Link to Original Source