@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."
}