Proteus: Control and management system

Author

Haralick, Robert M. ; Yao, Yung-Hsi ; Shapiro, Linda G. ; Phillips, Ihsin T. ; Somani, Arun K. ; Hwang, Jenq-Neng ; Harrington, Mike ; Wittenbrink, Craig ; Chen, Chung-Ho ; Liu, Xufei ; Chen, Su

Author_Institution

Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA

fYear

1993

fDate

15-17 Dec 1993

Firstpage

101

Lastpage

108

Abstract

The Proteus is a highly parallel MIMD, multiple instruction, multiple-data machine, optimized for large granularity tasks. The system is designed to use 256 to 1024 RISC processors. Computer vision algorithms consist of sub-algorithms, which can be executed in parallel. Advanced software system for partitioning, scheduling, development, and execution of tasks can utilize this fact in a data flow programming paradigm to increase throughput. The authors describe how these modules interact with each other such that permit the efficient control of large grained parallelism without having to handle the general concurrency problem

Keywords

computer vision; Proteus; RISC processors; computer vision; concurrency problem; data flow programming paradigm; data machine; development; execution; highly parallel MIMD multiple instruction multiple; large granularity tasks; partitioning; scheduling; Computer architecture; Computer networks; Computer vision; Concurrent computing; Control systems; Machine vision; Pipeline processing; Processor scheduling; Reduced instruction set computing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Architectures for Machine Perception, 1993. Proceedings

Conference_Location

New Orleans, LA

Print_ISBN

0-8186-5420-1

Type

conf

DOI

10.1109/CAMP.1993.622463

Filename

622463