%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.