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Overhead with using CCS scheduler using MPI RRS feed

  • Question

  • I'm setting up a compute cluster that uses MPI to generate calculations on the fly in short amounts of time <3s. I was wondering what kind of overhead times I would possibly see if I submitted jobs using the CCP API, or should I just use the Cluster.ExecuteCommand method instead?

    If neither of these is a possibility because the overhead of the CCP framework is too large, is there a way to bypass that and still harness the power of the MPI.NET?
    Monday, December 8, 2008 11:37 PM

Answers

  • You may want to look at the 'parametric sweep' and 'SOA'/'WCF' features in the HPC documentation. Those both enable more calculations to be done without paying a full job submission penalty for each one.
    Thursday, June 25, 2009 1:56 AM
    Moderator