The Durra Runtime Environment

Abstract

Durra is a language designed to support PMS-level programming. PMS stands for Processor-Memory-Switch, the name of the highest level in th hierarchy of digital systems. An application or PMS-level program is written in Durra as a set of task descriptions and type declarations that prescribes a way to manage the resources of a heterogeneous machine network. The application describes the tasks to be instantiated and executed as concurrent processes. The types of data to be exchanged by the processes, and the intermediate queues required to store the data as they move from producer to consumer processes. The report describes the Durra Runtime Environment. The environment consists of three active components: the application tasks, the Durra server, and the Durra scheduler. After compiling the type declarations, the component task descriptions, and the application description, the application can be executed by starting an instance of the server on each processor, starting an instance of the scheduler on one of the processors, and downloading the component task implementations (i.e., the programs) to the processors. the scheduler receives an an argument the name of the file containing the scheduler program generated by the compilation of the application description. This step initiates the execution of the application.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1988
Accession Number
ADA199480

Entities

People

  • Charles Weinstock
  • Dennis L. Doubleday
  • Mario R. Barbacci

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Classification
  • Compilers
  • Computer Programming
  • Computer Science
  • Computers
  • Consumers
  • Debugging
  • Department Of Defense
  • Directories
  • Engineering
  • Environment
  • Hierarchies
  • Information Exchange
  • Language
  • Operating Systems
  • Programming Languages
  • Software Development

Fields of Study

  • Computer science

Readers

  • Parallel and Distributed Computing.