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A model-based inter-process resource sharing approach for high-level synthesis of dataflow graphs

机译:基于模型的进程间资源共享方法,用于数据流图的高级综合

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High-level synthesis tools are gaining more and more acceptance in industrial design flows. While they increase productivity in implementing a single complex hardware module, synthesizing and optimizing many hardware components simultaneously is still an open problem. In particular, resource sharing is typically only performed for single components, thereby neglecting optimization possibilities across concurrent modules. On the other hand, domain-specific models and specifications, which are generally seen as a key ingredient to raise the level of abstraction in future design flows, may enable such global optimizations. In this paper, we present a model-based approach for inter-process resource sharing which provides for efficient high-level synthesis of streaming applications modeled as a set of communicating processes. The applicability of the proposed approach is validated by a case study.
机译:高级综合工具在工业设计流程中越来越受到认可。尽管它们提高了实现单个复杂硬件模块的效率,但同时合成和优化许多硬件组件仍然是一个未解决的问题。特别是,资源共享通常仅针对单个组件执行,从而忽略了并发模块之间的优化可能性。另一方面,特定领域的模型和规范通常被认为是提高未来设计流程中抽象水平的关键要素,可以实现此类全局优化。在本文中,我们提出了一种用于进程间资源共享的基于模型的方法,该方法可对流应用程序建模为一组通信进程,从而进行高效的高级综合。案例研究验证了所提出方法的适用性。

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