Developing Component Architectures for Distributed Scientific Problem Solving

  • Authors:
  • Dennis Gannon;Randall Bramley;Thomas Stuckey;Juan Villacis;Jayashree Balasubramanian;Esra Akman;Fabian Breg;Shridhar Diwan;Madhusudhan Govindaraju

  • Affiliations:
  • -;-;-;-;-;-;-;-;-

  • Venue:
  • IEEE Computational Science & Engineering
  • Year:
  • 1998

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Abstract

Component-based technologies will play an increasingly significant role in the design and implementation of large-scale distributed software systems during the next few years. This model of programming offers rapid prototyping of complex, distributed applications and a framework for naturally incorporating existing scientific software code base as components of larger problem solutions. This article surveys the design issues and theory of component-based software. The authors also present a prototype component-based problem-solving environment called the Linear System Analyzer that they have built for manipulating and solving large, sparse linear systems of equations.