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    <p>Using Raspberry Pi itself doesn't solve the whole problem of building a massively parallel supercomputer: how to connect all your compute cores together efficiently is a really big problem, which is why supercomputers are specially designed, not just made of commodity parts. That said, research units are really beginning to look at ARM cores as a power-efficient way to bring compute power to bear on exactly this problem: for example, this project that aims to simulate the human brain with a million ARM cores.</p> <p><a href="http://www.zdnet.co.uk/news/emerging-tech/2011/07/08/million-core-arm-machine-aims-to-simulate-brain-40093356/" rel="noreferrer">http://www.zdnet.co.uk/news/emerging-tech/2011/07/08/million-core-arm-machine-aims-to-simulate-brain-40093356/</a> "Million-core ARM machine aims to simulate brain"</p> <p><a href="http://www.eetimes.com/electronics-news/4217840/Million-ARM-cores-brain-simulator" rel="noreferrer">http://www.eetimes.com/electronics-news/4217840/Million-ARM-cores-brain-simulator</a> "A million ARM cores to host brain simulator"</p> <p>It's very specialist, bespoke hardware, but conceptually, it's not far from the network of Raspberry Pis you suggest. Don't forget that ARM cores have all the features that JohnB mentioned the Xeon has (Advanced SIMD instead of SSE, can do 64-bit calculations, overlap instructions, etc.), but sit at a very different MIPS-per-Watt sweet-spot: and you have different options for what features are included (if you don't want floating-point, just buy a chip without floating-point), so I can see why it's an appealing option, especially when you consider that power use is the biggest ongoing cost for a supercomputer.</p>
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    1. COI still wonder how the transistor quantity grows with the aperture; when you go from 8bits to 32bits, does the transistor quantity grows linearly ? If not then maybe 8 bits cores might cut power consumption.
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