Issue No.05 - May (1972 vol.21)
E.G. Mallach , Emulation Department, Honeywell Information Systems Inc.
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.
Aerospace applications, computer system simulation, guidance computers, Markov processes, multiprocessors, queuing theory.
E.G. Mallach, "Job-Mix Modeling and System Analysis of an Aerospace Multiprocessor", IEEE Transactions on Computers, vol.21, no. 5, pp. 446-454, May 1972, doi:10.1109/T-C.1972.223540