High Performance Optimization and Abstraction of Large Simulation Models

Abstract

Modeling large scale systems with natural and artificial components requires storage of voluminous amounts of knowledge/information as well as computing speed for simulations to provide reliable answers in reasonable time. Computing technology is becoming powerful enough to support such high performance modeling and simulation. This report proposes a high performance simulation based optimization environment to support the design and modeling of large scale systems with high levels of resolution, and represents the results of contract F3O602-95-C-O25O, "Methodology for Simulation Model Abstraction."

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1997
Accession Number
ADA339058

Entities

People

  • Bernard P. Zeigler
  • Yoonkeon Moon

Organizations

  • University of Arizona

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computational Complexity
  • Computational Science
  • Computer Languages
  • Computers
  • Differential Equations
  • Genetic Algorithms
  • Geographic Information Systems
  • High Resolution
  • Information Systems
  • Instructions
  • Low Resolution
  • Rainfall Intensity
  • Reliability
  • Simulations
  • Surface Roughness
  • Warning Systems

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Parallel and Distributed Computing.
  • Systems Analysis and Design