Paper Details

%T Process\-Oriented Collective Operations
%A John Markus Bjørndalen, Adam T. Sampson
%E Peter H. Welch, S. Stepney, F.A.C Polack, Frederick R. M. Barnes, Alistair A. McEwan, G. S. Stiles, Jan F. Broenink, Adam T. Sampson
%B Communicating Process Architectures 2008
%X 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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