Paralex: An Environment for Parallel Programming in Distributed Systems

Abstract

Modern distributed systems consisting of powerful workstations and high-speed interconnection networks are an economical alternative to special- purpose super computers. The technical issues that need to be addressed in exploiting the parallelism inherent in a distributed system include heterogeneity, high-latency communication, fault tolerance and dynamic load balancing. Current software systems for parallel programming provide little or no automatic support towards these issues and require users to be experts in fault-tolerant distributed computing. The Paralex system is aimed at exploring the extent to which the parallel application programmer can be liberated from the complexities of distributed systems. Paralex is a complete programming environment and makes extensive use of graphics to define, edit, execute and debug parallel scientific applications. All of the necessary code for distributing the computation across a network and replicating it to achieve fault tolerance and dynamic load balancing is automatically generated by the system. In this paper we give an overview of Paralex and present our experiences with a prototype implementation.

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Document Details

Document Type
Technical Report
Publication Date
Dec 07, 1991
Accession Number
ADA245445

Entities

People

  • Alessandro Amoroso
  • Lorenzo Alvisi
  • Luigi A. Giachini
  • Ozalp Babaoglu
  • Renzo Davoli

Organizations

  • Cornell University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Coding
  • Computations
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Data Visualization
  • Debugging
  • Dynamic Loads
  • Language
  • Object Oriented Programming
  • Operating Systems
  • Parallel Computing
  • Parallel Processing
  • Programming Languages
  • Software Development
  • Synthetic Aperture Radar

Fields of Study

  • Computer science
  • Engineering

Readers

  • Parallel and Distributed Computing.