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Supercomputer Built With 8 GPUs
FnH writes "Researchers at the University of Antwerp in Belgium have created a new supercomputer with standard gaming hardware. The system uses four NVIDIA GeForce 9800 GX2 graphics cards, costs less than €4,000 to build, and delivers roughly the same performance as a supercomputer cluster consisting of hundreds of PCs. This new system is used by the ASTRA research group, part of the Vision Lab of the University of Antwerp, to develop new computational methods for tomography. The guys explain the eight NVIDIA GPUs deliver the same performance for their work as more than 300 Intel Core 2 Duo 2.4GHz processors. On a normal desktop PC their tomography tasks would take several weeks but on this NVIDIA-based supercomputer it only takes a couple of hours. The NVIDIA graphics cards do the job very efficiently and consume a lot less power than a supercomputer cluster."
What they are is doing is reconstruction, basically analyzing the raw data data from a tomographic scanner and generating a representation which can then be visualized. So its more doing numerical methods than graphics.
And BTW even rendering the reconstructed results is not that simple, as current graphics card are optimized for geometry, not volumetric data.
And... a screwdriver is not always a prybar. A tool's a tool - they have preferred usage but if your requirement is specific and you're creative enough, you can do some fine work outside of the tool's intended purpose. Like this guy. Kudos to him.
Perhaps some more creative people finding this information will now discover if their specific requirements can be met by this interesting configuration. That will save them large quantities of cash or possibly enable some facility that was not previously available because supercomputers cost a grip-o-cash.
Of course for general purpose supercomputing you would want to use modified PS3s.
Help stamp out iliturcy.
Sure - but at 4000 euros, you can afford to do a one-off purchase and write custom software for a limited application. The point of this is that if your application suits it, this is a very cheap way to get supercomputer performance without paying for your own supercomputer (cluster) or time on an existing one.