Process-Oriented Collective Operations

Bjørndalen, John Markus and Sampson, Adam T. (2008) Process-Oriented Collective Operations. In: Communicating Process Architectures 2008. (Full text available)

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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-pi 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.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: occam-pi python pycsp mpi distributed
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Systems Architecture Group
Depositing User: Mark Wheadon
Date Deposited: 29 Mar 2010 12:14 UTC
Last Modified: 05 Feb 2016 10:25 UTC
Resource URI: (The current URI for this page, for reference purposes)
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