I occasioanlly work on "trivially" or "embarassingly" parallelizable problems. For me this most often involves computing a single statistic from a dataset over a large combination of parameters. The most efficient solution for me has been to use R with the Rmpi package to interface with MPI. Depending on the scope of the task, I may also use MySQL for distributing the dataset and collecting the results using RMySQL.
I could see doing the same thing in perl with PDL, Parallel::MPI, and your favorite database.
In reply to Re: The State of Parallel Computing in perl 2007?
by moklevat
in thread The State of Parallel Computing in perl 2007?
by jettero
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