The problem with this flurry of activity today regarding multicore architectures is that it is really unclear which one will be the winner in the long run. Never understimate the power of inertia, especially in the software industry (after all, people are still programming in COBOL and Fortran today).
For instance, NVIDIA gives you the Teslas with 10000 cores, but then you have to rewrite extensive parts of your code in order to take advantage of this. Is this an investment worth undertaking? Difficult to say, it would certainly be if the whole software world moves into that direction (which is not happening - yet?).
But then you have other approaches coming out, suche as the Cell processor by IBM (the one on the PS3) which has really impressive floating point performance and, of course, a completely different programming model.
The nice thing about this Tilera processor seems to be that it is a general-purpose processor, which may not require extensive re-engineering of existing code (but I'm really hypothesizing, since the thechincal details are not very abundant on their website).
Moreover PaGMO computation model is more towards systems with distributed memory, and not with shared memory (i.e. multi-core). In the latter, at certain point the memory access becomes the bottleneck.
Researchers at IBM have made a significant breakthrough in their quest to combine DNA strands with conventional lithographic techniques to create tiny circuit boards.
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