A Generalized Static Data Flow Clustering Algorithm for MPSoC Scheduling of Multimedia Applications

Provided by: Association for Computing Machinery
Topic: Hardware
Format: PDF
In this paper, the authors propose a generalized clustering approach for static data flow subgraphs mapped onto individual processors in Multi-Processor System-on-Chips (MPSoCs). The goal of clustering is to replace the static data flow subgraph by a single dynamic data flow actor such that the global performance in terms of latency and throughput is optimized. Through their proposed clustering approach, the scheduling of connected static data flow subgraphs can be coordinated with enclosing system representations in a way that systematically exploits the predictability and efficiency of the static data flow model.

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