By Topic

DCA: a distributed CCA framework based on MPI

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
F. Bertrand ; Indiana Univ., Bloomington, IN, USA ; R. Bramley

The CCA is a component architecture for high-performance scientific applications. In this architecture components are parallel entities that are connected directly or in a distributed manner. The problem of communication between scientific parallel programs with differing numbers of processes is called the "M×N problem". This paper discusses problems and solutions regarding the M×N problem in the context of the CCA. We also present a prototype implementation of a distributed CCA framework with M×N capabilities. This implementation reuses many MPI concepts and constructions to build the parallel-remote port invocation mechanism. Leveraging MPI helps developers that are familiar with that communication library and benefits from its performance and high degree of scalability.

Published in:

High-Level Parallel Programming Models and Supportive Environments, 2004. Proceedings. Ninth International Workshop on

Date of Conference:

26 April 2004