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29th Annual Simulation Symposium (SS '96)
Assessing the Performance of Multiprocessor Architectures through SWN Models Simulation: A Case Study in the Field of Plant Automation Systems
New Orleans, LA
April 08-April 11
ISBN: 0-8186-7432-6
Oliver Botti, ENEL CRA, Milano, Italy
Susanna Donatelli, Dip. di Informatica, Universit? di Torino, Torino, Italy
Giuliana Franceschinis, Dip. di Informatica, Universit? di Torino, Torino, Italy
In this paper we present a simulation study of an hypercube architecture of complex nodes. Goal of the simulation experiments is to compare two possible architectural solutions for the complex node, and to study the hypercube behaviour under different types of workload. The models have been expressed in the formalism of Stochastic Well-formed Nets (SWN), a class of high level stochastic Petri Nets, and the results have been obtained using a general-purpose simulator for SWN models. In this study the availability of a general purpose simulator and the flexibility and parametricity of the SWN formalism has indeed been a crucial point in what we think is a successful example of "benchmarking by models'': a characterization of an architecture in terms of models, rather than by measurement.
Index Terms:
Petri nets, Stochastic Petri nets, Performance evaluation, Parallel architectures, Simulation
Citation:
Oliver Botti, Susanna Donatelli, Giuliana Franceschinis, "Assessing the Performance of Multiprocessor Architectures through SWN Models Simulation: A Case Study in the Field of Plant Automation Systems," ss, pp.118, 29th Annual Simulation Symposium (SS '96), 1996
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