Summary
Resource sharing in multiprocessor systems has a strong influence on the speed-up of the processing elements. Analytic computational methods, e.g. queueing theory, do not provide time-dependent solutions by tolerable effort,’ whereas simulation often requires a great deal of computational time and is more difficult to validate. In order to overcome these disadvantages, the paper presents a model that combines analytic computation and simulation. The time-dependent solution of the model under time-dependent load is obtained by the simulation package FORCASD. For reasons of state reduction and decrease of computational effort the hardware layer is modeled by a queueing model. The results are validated by measurements in the M5PS multiprocessor system.
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References
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© 1983 Springer-Verlag Berlin Heidelberg
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Regen, F., Krings, L., Ameling, W. (1983). Simulation of Job Execution in the M5PS Multiprocessor. In: Ameling, W. (eds) First European Simulation Congress ESC 83. Informatik-Fachberichte, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69295-6_44
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DOI: https://doi.org/10.1007/978-3-642-69295-6_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-12723-9
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