Early Student Support for Application of Advanced Multi-Core Processor Technologies to Oceanographic Research

Abstract

We created an intelligent, reliable, and efficient compute scheduling and management system aboard an AV by employing a cluster of embedded computing systems to improve upon the following areas: Vehicle adaptability (i.e. re-planning and reconfiguration), computing, and technology adaptation. This work deviates from the current methods of using independent systems that are activated as needed for vehicle sensing and computing. Instead, a centralized system where resources are placed in a shared pool and tasks are dispatched and executed when availability and functionality permits, according to the task classifications and user described priorities.

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Document Details

Document Type
Technical Report
Publication Date
May 07, 2016
Accession Number
AD1012884

Entities

People

  • Alex Wiggins

Organizations

  • Oregon State University

Tags

Communities of Interest

  • Air Platforms
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acquisition
  • Aircrafts
  • Application Programming Interface
  • Availability
  • Computer Programming
  • Contracts
  • Data Acquisition
  • Data Storage Systems
  • Database Management Systems
  • Detectors
  • Language
  • Platforms
  • Programming Languages
  • Underwater Vehicles
  • Unmanned Aerial Vehicles
  • Unmanned Underwater Vehicles
  • Vehicles

Fields of Study

  • Computer science

Readers

  • Maritime and Naval Warfare Studies
  • Parallel and Distributed Computing.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.