Parallel and Distributed Computing Architectures and Algorithms for Fault-Tolerant Sonar Arrays

Abstract

This report summarizes the progress and results of the second of a three-year study whose goal is the use of fault-tolerant distributed and parallel processing techniques to decrease the cost and improve the performance and reliability of large, disposable sonar arrays. In this second phase, tasks have concentrated on the design, development, analysis and evaluation of conventional and basic split-aperture beamforming algorithms. A broad assortment of parallel algorithms and programs for FFT beamformers have been completed, and their performance evaluated via a cluster testbed and via rapid virtual prototyping capabilities derived from new network architecture models. These models include a wide variety of network protocols centered around unidirectional, ring, and bidirectional topologies. In addition, new emphasis has begun with split-aperture conventional beamforming and initial results indicate a significant potential for performance improvement through parallel processing. Finally, the architecture for the hardware prototype has been developed, and work has begun on its construction and that of its software system.

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Document Details

Document Type
Technical Report
Publication Date
Feb 03, 1998
Accession Number
ADA337317

Entities

People

  • Alan George
  • Jeff Markwell
  • Jesus Garcia
  • Ken Kim
  • Ryan Fogarty

Organizations

  • University of Florida

Tags

Communities of Interest

  • Counter WMD
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Communication Channels
  • Computer Architecture
  • Computer Communications
  • Computer Networks
  • Computer Programming
  • Computer Programs
  • Computers
  • Instruction Set Architecture
  • Local Area Networks
  • Multiple Access
  • Network Architecture
  • Network Protocols
  • Network Topology
  • Parallel Computing
  • Parallel Processing
  • Software Development
  • Test And Evaluation

Fields of Study

  • Engineering

Readers

  • Parallel and Distributed Computing.
  • Phased Array Antenna Design.
  • Software Engineering