Paper Details

@InProceedings{BjorndalenSampson08,
  title = "{P}rocess-{O}riented {C}ollective {O}perations",
  author= "Bjørndalen, John Markus and Sampson, Adam T.",
  editor= "Welch, Peter H. and Stepney, S. and Polack, F.A.C and Barnes, Frederick R. M. and McEwan, Alistair A. and Stiles, G. S. and Broenink, Jan F. and Sampson, Adam T.",
  pages = "309--328",
  booktitle= "{C}ommunicating {P}rocess {A}rchitectures 2008",
  isbn= "978-1-58603-907-3",
  year= "2008",
  month= "sep",
  abstract= "Distributing process-oriented programs across a cluster of
     machines requires careful attention to the effects of
     network latency. The MPI standard, widely used for cluster
     computation, defines a number of collective operations:
     efficient, reusable algorithms for performing operations
     among a group of machines in the cluster. In this paper, we
     describe our techniques for implementing MPI communication
     patterns in process-oriented languages, and how we have used
     them to implement collective operations in PyCSP
     and occam-\π on top of an asynchronous messaging
     framework. We show how to make use of collective operations
     in distributed processoriented applications. We also show
     how the process-oriented model can be used to increase
     concurrency in existing collective operation algorithms."
}

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