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What is Dynamic Dataflow Scheduling Model about?

This dissertation presents an analytical model called the token flow model for scheduling dynamic dataflow graphs with bounded memory. It defines different levels of consistency for these graphs and provides necessary and sufficient conditions for bounded length schedules. It also gives techniques like clustering and state space enumeration to determine if a graph can be scheduled with bounded memory. These techniques are implemented in the Ptolemy simulation platform, which can simulate or generate code fo

Author

Tadele Basazenew Ayele

Language

EN