On Sat, May 24, 2008 at 6:48 AM, Olivier Teytaud <[EMAIL PROTECTED]> wrote:
>
> By the way, parallelizations (both multi-core and MPI) are *very* efficient.
> The use of huge clusters could probably give much better
> results than the current limit of mogo (between 1k and 1d on KGS with
> 64 quad-cores and myrinet switch).

This is rather off-topic, but I am very interested in this field of
research. I had read previously that Mogo used MPI, but I didn't know
if could work on clusters without sharing the whole tree. I have been
formulating such an algorithm for the past week or so, so I would like
to make sure that it hasn't already been done. Has anything been
written about Mogo's parallel algorithms? Or could you give a brief
run-down? How does it scale on such large numbers of processors?
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