DocumentCode :
1154293
Title :
The Architecture of SM3: A Dynamically Partitionable Multicomputer System
Author :
Baru, Chaitanya K. ; Su, Stanley Y W
Author_Institution :
Department of Electrical Engineering and Computer Science, University of Michigan
Issue :
9
fYear :
1986
Firstpage :
790
Lastpage :
802
Abstract :
The architecture of a multicomputer system with switchable main memory modules (SM3) is presented. This architecture supports the efficient execution of parallel algorithms for nonnumeric processing by 1) allowing the sharing of switchable main memory modules between computers, 2) supporting dynamic partitioning of the system, and 3) employing global control lines to efficiently support interprocessor communication. Data transfer time is reduced to memory switching time by allowing some main memory modules to be switched between processors. Dynamic partitioning gives a common bus system the capability of an MIMD machine while performing global operations. The global control lines establish a quick and efficient high-level protocol in the system. The network is supervised by a control computer which oversees network partitioning and other global functions. The hardware involved is quite simple and the network is easily extensible. A simulation study using discrete event simulation techniques has been carried out and the results of the study are presented. The architecture of this system is compared to those of conventional local area networks and shared-memory systems in order to establish the distinct nature and characteristics of a multicomputer system based on the SM3 concept.
Keywords :
Computer architecture; database machines; multicomputer systems; multiprocessors; parallel algorithms; parallel database processing; performance evaluation; Communication switching; Communication system control; Computer architecture; Computer networks; Concurrent computing; Control systems; Discrete event simulation; Hardware; Parallel algorithms; Protocols; Computer architecture; database machines; multicomputer systems; multiprocessors; parallel algorithms; parallel database processing; performance evaluation;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/TC.1986.1676839
Filename :
1676839
Link To Document :
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