Performance modeling of parallel systems with flexible precision

The spectrum of approaches to performance prediction of parallel systems ranges from low-cost, low-precision compile-time methods to high-cost, high-precision methods with an equal variety of underlying modeling formalisms (e.g., task graphs, queueing networks, simulation languages) which are mutual...

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Bibliographic Details
Main Authors: van Gemund, A.J.C., Jonkers, H., Reijns, G.L.
Format: Conference Proceeding
Language:English
Subjects:
Analytical models
Calculus
Concurrent computing
Costs
Delay effects
Performance analysis
Predictive models
Queueing analysis
Reduced order systems
Signal processing
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Summary:The spectrum of approaches to performance prediction of parallel systems ranges from low-cost, low-precision compile-time methods to high-cost, high-precision methods with an equal variety of underlying modeling formalisms (e.g., task graphs, queueing networks, simulation languages) which are mutually incompatible. A performance prediction technique is described which unifies a number of existing approaches within one formalism. As the analysis is based on a model reduction calculus the approach allows for a flexible trade-off between precision and cost, effectively ranging from simulation to static analysis.< >
DOI:10.1109/HICSS.1995.375513