Accession Number:

ADA272696

Title:

Large Grain Data-Flow Graph Restructuring for EMSP Signal Processing Benchmarks on the ECOS Workstation System.

Descriptive Note:

Master's thesis,

Corporate Author:

NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Personal Author(s):

Report Date:

1993-06-01

Pagination or Media Count:

162.0

Abstract:

This thesis documents a procedure for implementing the Revolving Cylinder scheduling algorithm for parallel programs on the ECOS Workstation System EWS, designed specifically by ATT for simulation of the Enhanced Modular Signal Processor EMSP currently in use by the United States Navy. The Revolving Cylinder RC algorithm provides a methodology for forcing First Come First Served FCFS schedulers to follow a more systematic utilization of available resources. The methods of implementation used take advantage of the Graphical Editor gred to insert additional data dependencies into the program structure. The thesis utilizes applications written in Signal Processing Graph Notation SPGN, viz., a simple correlator function and the active subroutine of the U.S. Navy Sonobuoy benchmark. Results for standard FCFS scheduling and RC modified scheduling are presented for both. Special attention is paid throughout the thesis to enhancement of manufacturer supplied documentation with regard to implementation of the non-standard RC structures. Impact of the algorithm on throughput and latency is discussed, as well as performance determination using the tools provided with the ECOS Workstation System. Revolving cylinder, Parallel processing, Data-flow, EMSP, Graph restructuring, Trigger Queues

Subject Categories:

  • Acoustic Detection and Detectors
  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE