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oaioai:tigerprints.clemson.edu:computing_pubs-1012

A Performance and Productivity Study using MPI, Titanium, and Fortress

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Publication date
1 December 2008
Publisher
Clemson University Libraries

Abstract

The popularity of cluster computing has increased focus on usability, especially in the area of programmability. Languages and libraries that require explicit message passing have been the standard. New languages, designed for cluster computing, are coming to the forefront as a way to simplify parallel programming. Titanium and Fortress are examples of this new class of programming paradigms. This papers presents results from a productivity study of these two newcomers with MPI, the de- facto standard for parallel programming

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Clemson Open (Clemson University)

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Last time updated on 15/12/2019

This paper was published in Clemson Open (Clemson University).

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