Adaptive Framework for Automated Mapping and Architecture Trades for Embedded Heterogeneous Systems

Abstract

This paper presents a framework that can be adapted to perform automated mapping/scheduling and architecture trades for embedded computing environments. The framework is based on a learning automata model whose adaptable nature makes it invaluable in tools that provide end-to-end solutions for embedded systems development. The framework has been incorporated into one such tool, Systems and Applications Genesis Environment (SAGE). The paper begins with an introduction to learning automata and the architecture of the framework. The following sections discuss how algorithms for automated mapping/scheduling and architecture trades are constructed within the framework.

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Document Details

Document Type
Technical Report
Publication Date
May 21, 2003
Accession Number
ADA419986

Entities

People

  • Raju D. Venkataramana

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Automata
  • Construction
  • Embedded Systems
  • Environment
  • Figure Of Merit
  • High Performance Computing
  • Information Operations
  • Iterations
  • Learning
  • Machines
  • New Jersey
  • Probability
  • Scheduling (Production)
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Business Analytics
  • Distributed Systems and Data Platform Development
  • Operations Research