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Application of Dataflow-Driven Multi-Thread Model in Embedded Multi-Core System

Xiao Hong

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Abstract

Dataflow-driven model of computation exploits the maximum parallelism available and the tasks are dynamically scheduled and executed asynchronously, it is automated multithreaded. The multiple cores are distributed and parallel to provide high performance in embedded multi-core system. The dataflow-driven model of computation abstracts the computing, communication, storage and resources constraint, and it is suit for describing the system behavior and guiding the system design and development.

About this research paper

What this paper is about

Dataflow-driven model of computation exploits the maximum parallelism available and the tasks are dynamically scheduled and executed asynchronously, it is automated multithreaded. The multiple cores are distributed and parallel to provide high performance in embedded multi-core system. The dataflow-driven model of computation abstracts the computing, communication, storage and resources constraint, and it is suit for describing the system behavior and guiding the system design and development.

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Method / approach

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Available abstract

Dataflow-driven model of computation exploits the maximum parallelism available and the tasks are dynamically scheduled and executed asynchronously, it is automated multithreaded. The multiple cores are distributed and parallel to provide high performance in embedded multi-core system. The dataflow-driven model of computation abstracts the computing, communication, storage and resources constraint, and it is suit for describing the system behavior and guiding the system design and development.

Key concepts: Dataflow, Computer science, Thread (computing), Parallel computing, Exploit, Computation, Multi-core processor, Model of computation

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