Accession Number : AD1012884


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


Descriptive Note : Technical Report,01 Apr 2012,31 Mar 2016


Corporate Author : Oregon State University Corvallis United States


Personal Author(s) : Wiggins,Alex


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1012884.pdf


Report Date : 07 May 2016


Pagination or Media Count : 4


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.


Descriptors :   unmanned underwater vehicles , computer programming , database management systems , underwater vehicles , application programming interface , communications protocols , embedded systems , information operations , side looking sonar , reliability , data acquisition


Distribution Statement : APPROVED FOR PUBLIC RELEASE