Development of a Design Automation Graphics Work Station.

Abstract

As digital system complexities continue to increase, manual design, analysis, and fabrication methods have proved inadequate. Design Automation (DA) is the application of computers (with applicable software) to support designers or technicians in the design, fabrication, testing, and maintenance of a digital system. This report describes the development of a graphics work station which is intended to function as an Input/Output (I/O) processor in support of the Data Automation effort at the Air Force Institute of Technology (AFIT). This study focused on the requirements definition and design of the graphics workstation. Five I/O devices were acquired during this effort and were to be controlled by an M6800 microprocessor. A graphics generator was acquired to produce, store, and refresh the graphics display, freeing the microprocessor to collect and process other data. The hardware and software designs were completed and the hardware which was acquired was interfaced to the M6800. The present configuration of the M6800 EXORciser system prohibited the implementation of the graphics software, however, the device drivers were implemented and tested during this effort. Test software was generated and used to demonstrate the features of the system.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1982
Accession Number
ADA124824

Entities

People

  • Donna Eileen Scott

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Application Software
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Sets
  • Data Transmission
  • Databases
  • Device Drivers
  • Electrical Engineering
  • Engineering
  • Logic Gates
  • Operating Systems
  • Software Design
  • Software Development
  • System Software
  • Test And Evaluation
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Software Engineering