Effective Parallel Algorithm Animation

Abstract

The AFIT Algorithm Animation Research Facility (AAARF) was developed by the Air Force Institute of Technology (AFIT) as a teaching aid for data structures and algorithm design. In particular, an extensive set of performance animations has been developed for the Intel iPSC Hypercube parallel processing system. This research focuses in part on developing animation support for discrete event simulation, mission routing, and evolutionary algorithms based on abstract representations of parallel algorithm behavior. The effort also builds extensions to the AAARF system and examines direction for further research. An innovative adaptable application-specific animation construction environment has been designed and implemented. The environment provides a set of composible graphics objects and a flexible event mapping and transformation system that allows development of arbitrary animation formats. The system also reduces operational complexity via a simplified event format. The resulting visualization system is inherently portable between architectures, easily extensible to meet specific user animation requirements, and successfully deals with scalability problems associated with massively parallel processing systems. Algorithm animation, Visualization, Parallel processing.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1994
Accession Number
ADA278552

Entities

People

  • Paul W. Chase

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Application Software
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Panels
  • Data Analysis
  • Data Visualization
  • Debugging
  • Evolutionary Algorithms
  • Message Processing
  • Operating Systems
  • Parallel Computing
  • Parallel Processing
  • Research Facilities
  • Three Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Science.
  • Parallel and Distributed Computing.
  • Software Engineering.