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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Bibliographic Details
Published in:IEEE transactions on computers Vol. C-21; no. 5; pp. 446 - 454
Main Author: Mallach, E.G.
Format: Journal Article
Language:English
Published: IEEE 01.05.1972
Subjects:
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
Online Access:Get full text
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Description
Summary: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.
ISSN:0018-9340
1557-9956
DOI:10.1109/T-C.1972.223540