Multiprocessor Station (MIPS)

Abstract

The objective of the MultiProcessor Station (MIPS) effort was to establish a software development environment to: maximize cross platform portability of image and video processing software; maximize the utilization of available multiprocessors on intelligence workstations; and maximize the life span and minimize the life cycle cost of software. The end product is: an object based visual programming environment in which image and video data and operations are represented by icons; an environment which permits mixing of legacy code and new development; a framework providing the capability to visually program new algorithms without writing any source code; tight integration of the constructor mode with the main window mode means that new algorithms can be developed and easily installed on any computer with MIPS software; the image cube object, which is used to store all imagery and video, makes it possible for all image processing algorithms to be applied to all types of data; versatility for exploiters of multi-spectral imagery, in that processing and display of image bands can be tightly controlled, easily modified, and packaged for widespread use; the environment demonstrates portability across platforms, software reusability, adaptability to various multiprocessor configurations, and extensibility to other application areas (i.e. signal processing).

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1999
Accession Number
ADA371524

Entities

People

  • Jaye Bass

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Computer Programming
  • Computer Programs
  • Costs
  • Data Processing
  • Environment
  • Gaussian Noise
  • Image Processing
  • Information Processing
  • Information Systems
  • Operating Systems
  • Parallel Computing
  • Parallel Processing
  • Processing Equipment
  • Software Development

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computer Vision.
  • Database Systems and Applications
  • Systems Analysis and Design