Job-Mix Modeling and System Analysis of an Aerospace Multiprocessor

An aerospace guidance computer organization, consisting of multiple processors and memory units attached to a central time-multiplexed data bus, is described. A job mix for this type of computer is obtained by analysis of Apollo mission programs. Multiprocessor performance is then analyzed using: 1)...

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Veröffentlicht in:IEEE transactions on computers Jg. C-21; H. 5; S. 446 - 454
1. Verfasser: Mallach, E.G.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 01.05.1972
Schlagworte:
Aerospace applications
Computational modeling
computer system simulation
Computers
guidance computers
Instruments
Load modeling
Markov processes
Memory management
multiprocessors
Organizations
Program processors
queuing theory
Space vehicles
Switches
System performance
ISSN:0018-9340, 1557-9956
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Abstract An aerospace guidance computer organization, consisting of multiple processors and memory units attached to a central time-multiplexed data bus, is described. A job mix for this type of computer is obtained by analysis of Apollo mission programs. Multiprocessor performance is then analyzed using: 1) queuing theory, under certain "limiting case" assumptions; 2) Markov process methods; and 3) system simulation. Results of the analyses indicate: 1) Markov process analysis is a useful and efficient predictor of simulation results; 2) efficient job execution is not seriously impaired even when the system is so overloaded that new jobs are inordinately delayed in starting; 3) job scheduling is significant in determining system performance; and 4) a system having many slow processors may or may not perform better than a system of equal power having few fast processors, but will not perform significantly worse.
AbstractList An aerospace guidance computer organization, consisting of multiple processors and memory units attached to a central time-multiplexed data bus, is described. A job mix for this type of computer is obtained by analysis of Apollo mission programs. Multiprocessor performance is then analyzed using: 1) queuing theory, under certain "limiting case" assumptions; 2) Markov process methods; and 3) system simulation. Results of the analyses indicate: 1) Markov process analysis is a useful and efficient predictor of simulation results; 2) efficient job execution is not seriously impaired even when the system is so overloaded that new jobs are inordinately delayed in starting; 3) job scheduling is significant in determining system performance; and 4) a system having many slow processors may or may not perform better than a system of equal power having few fast processors, but will not perform significantly worse.
Author Mallach, E.G.
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StartPage 446
SubjectTerms Aerospace applications
Computational modeling
computer system simulation
Computers
guidance computers
Instruments
Load modeling
Markov processes
Memory management
multiprocessors
Organizations
Program processors
queuing theory
Space vehicles
Switches
System performance
Title Job-Mix Modeling and System Analysis of an Aerospace Multiprocessor
URI https://ieeexplore.ieee.org/document/1672133
Volume C-21
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