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A scenario-aware data flow model for combined long-run average and worst-case performance analysis
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A scenario-aware data flow model for combined long-run average and worst-case performance analysis
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Performance Analysis Using Stochastic Petri Nets
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Stochastic models: an algorithmic approach
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A model of programming languages for dynamic real-time streaming applications
inferred← citeshttps://doi.org/10.70675/303a90cez867ez4955za152z74c9d1f0e0a5openalex-snapshot
Etude et implantation d'algorithmes pour le placement et l'ordonnancement d'applications Dataflow
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Contributions to Software Runtime for Clustered Manycores Applied to Embedded and High-Performance Applications
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Modeling, Scheduling, Pipelining and Configuration of Synchronous Dataflow Graphs with Throughput Constraints
inferred← citeshttps://doi.org/10.70675/735dedb0zb1dfz4fc4za721z8bd427534742openalex-snapshot
Performance monitoring of throughput constrained dataflow programs executed on shared-memory multi-core architectures
inferred← citeshttps://doi.org/10.70675/994b5767zbd2fz49a9zb09cze4a2a4a8737eopenalex-snapshot
Runtime mapping of dynamic dataflow applications on heterogeneous multiprocessor platforms
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Runtime multicore scheduling techniques for dispatching parameterized signal and vision dataflow applications on heterogeneous MPSoCs
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Models, Analysis and Execution of Audio Graphs in Interactive Multimedia Systems
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Contribution to dynamic reconfiguration in component-based systems : consistency and non-functional properties specification
inferred← citeshttps://doi.org/10.70675/f86270b0z6ed2z41d6z9a7bz2430ffc9c105openalex-snapshot
Deployment of mixed criticality and data driven systems on multi-cores architectures
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