Publication | Closed Access
Modelling run-time arbitration by latency-rate servers in dataflow graphs
66
Citations
24
References
2007
Year
Unknown Venue
Heterogeneous ComputingEngineeringComputer ArchitectureTemporal BehaviourDataflow ModelQueueing TheoryDataflow GraphsHigh-performance ArchitectureParallel ComputingCloud SchedulingComputer EngineeringTasks Share ResourcesScheduling (Computing)Computer ScienceEdge ComputingNetwork Traffic ControlCloud ComputingPerformance ModelingMultiprocessor SystemParallel Programming
In order to obtain a cost-efficient solution, tasks share resources in a Multi-Processor System-on-Chip. In our architecture, shared resources are run-time scheduled. We show how the effects of Latency-Rate servers, which is a class of run-time schedulers, can be included in a dataflow model. The resulting dataflow model, which can have an arbitrary topology, enables us to provide guarantees on the temporal behaviour of the implementation.
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