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Strange as it may initially seem to suggest it ... perhaps the very best approach to this problem would be to create a simple-minded program that “finds one TSV file and converts it to RDF,” then, if necessary, to (e.g. from the command-line ...) spawn as many concurrent copies of “that one simple-minded program” as you know that you have CPUs.   Reduce the problem to a simple subset that “can be parallelized, if necessary,” among a collection of one-or-more processes that do not (have to) care if other instances of themselves exist.   “One solitary instance” can solve the problem.   “n instances” can merely do it faster.   Q.E.D.


In reply to Re: Parallel::Forkmanager and large hash, running out of memory by sundialsvc4
in thread Parallel::Forkmanager and large hash, running out of memory by mabossert

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