Toward a scalable concurrent architecture for real-time processing of stochastic control and optimization problems

Author

Lee, W. Bernard

Author_Institution

Dept. of Comput. Sci., Program in Comput. Math., Stanford Univ., CA, USA

fYear

1992

fDate

26-29 Apr 1992

Firstpage

46

Lastpage

50

Abstract

Reports on the development of a scalable multiple-instruction multiple-data (MIMD) concurrent architecture which is intended to serve as an effective alternative for solving stochastic differential and optimization systems. This architecture has in turn motivated the application of group theory and invariance analysis to acquire further insights in understanding the original problem. The speed-up ratios attained by this architecture can realistically justify its potential deployment in certain real-time applications. A case study related to real-time stochastic control and optimization serve to illustrate this possibility

Keywords

computerised control; group theory; invariance; parallel architectures; real-time systems; stochastic programming; group theory; invariance analysis; optimization; real-time processing; scalable concurrent architecture; scalable multiple-instruction multiple-data; stochastic control; Analysis of variance; Application software; Computer architecture; Computer science; Control systems; Mathematics; Process control; Real time systems; Stochastic processes; Stochastic systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Scalable High Performance Computing Conference, 1992. SHPCC-92, Proceedings.

Conference_Location

Williamsburg, VA

Print_ISBN

0-8186-2775-1

Type

conf

DOI

10.1109/SHPCC.1992.232689

Filename

232689