DocumentCode
358064
Title
Optimization of computing systems multiprocessor architecture with designing real time systems
Author
Pogrebnoy, V.K. ; Pogrebnoy, D.V.
Author_Institution
Tomsk Polytech. Inst., Russia
Volume
1
fYear
1999
fDate
1999
Firstpage
269
Abstract
The tasks connected with the construction of a dynamic model of real-time systems (RTSs) are considered on the basis of two models: a model of the program load and a model of the multiprocessor computing system (MCS). Attention is focused on a problem concerning model coordination for a uniform dynamic model of projected system reception. The optimization statement of a resource-use plan-finding task by means of a criterion on the minimal total volume of the data sent in a local-network MCS is given as the task of graph cutting on minimally-connected subgraphs, and the search technique for this decision is offered. The technique of a variant-choice, economically-preferable criterion for the MCS architecture is offered, based on two basic parameters $the number of stations in the MCS and the delay time in performing the applied functions
Keywords
graph theory; multiprocessing systems; optimisation; parallel architectures; real-time systems; resource allocation; search problems; delay time; dynamic model; graph cutting; local network; minimal total data volume; minimally-connected subgraphs; model coordination; multiprocessor architecture optimization; multiprocessor computing system; program load; projected system reception; real-time systems design; resource-use plan-finding task; search technique; station number; variant-choice economically-preferable criterion; Art; Computer architecture; Design optimization; Information systems; Iterative algorithms; Iterative methods; Real time systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Science and Technology, 1999. KORUS '99. Proceedings. The Third Russian-Korean International Symposium on
Conference_Location
Novosibirsk
Print_ISBN
0-7803-5729-9
Type
conf
DOI
10.1109/KORUS.1999.875922
Filename
875922
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