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A Performance and Productivity Study using MPI, Titanium, and Fortress
HiPC08 Student Symposium
  • Amy Apon, Clemson University
  • Chris Bryan, University of Arkansas - Main Campus
  • Wesley Emeneker, University of Arkansas - Main Campus
Document Type
Conference Proceeding
Publication Date
12-1-2008
Disciplines
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.

Citation Information
Amy Apon, Chris Bryan and Wesley Emeneker. "A Performance and Productivity Study using MPI, Titanium, and Fortress" HiPC08 Student Symposium (2008)
Available at: http://works.bepress.com/amy_apon/26/