Title :
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
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;
Conference_Titel :
Computer Architectures for Machine Perception, 1993. Proceedings
Conference_Location :
New Orleans, LA
Print_ISBN :
0-8186-5420-1
DOI :
10.1109/CAMP.1993.622463
