Application of Advanced Multi-Core Processor Technologies to Oceanographic Research

Abstract

The long-term goal is to improve our ability to sense and predict ocean processes, utilizing state-of-the-art information processing architectures and techniques. Next-generation processor architectures (many-core, multi-threaded) hold the promise of delivering enormous amounts of compute power in a small form factor and with low power requirements. However, new programming models are required to realize that potential. Our objectives are to deploy data processing and vehicle control systems onto a variety of systems on a chip (SoC) to provide autonomous functionality, to develop a platform for the dissemination, aggregation, and analysis of real-time sensor information, and to develop computational methods to detect and mitigate faults in autonomous vehicles.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2014
Accession Number
ADA623423

Entities

People

  • Mark R. Abbott

Organizations

  • Oregon State University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Anomaly Detection
  • Application-Specific Integrated Circuits
  • Autonomous Vehicles
  • Change Detection
  • Computational Science
  • Computer Programming
  • Computers
  • Computing Devices
  • Control Systems
  • Data Analysis
  • Data Processing
  • Data Storage Systems
  • Detection
  • Detectors
  • Operating Systems
  • Scheduling (Production)
  • Simulators

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Maritime Combat Support and Expeditionary Logistics.
  • Parallel and Distributed Computing.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control