Parameterized dataflow modeling of DSP systems
Parameterized dataflow modeling of DSP systems
复制标题
DSP 系统的参数化数据流建模
DOI：
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发表时间：
2000
期刊：
影响因子：
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通讯作者：
S. Bhattacharyya
中科院分区：
文献类型：
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作者：
Bishnupriya Bhattacharya;S. Bhattacharyya
数据流已被证明是一个有吸引力的DSP应用程序编程的计算模型。一个被称为同步并行流（SDF）的受限版本的并行流，提供了强大的编译时可预测性，但表达能力有限，已在DSP上下文中被广泛研究。已经提出了许多对同步编译器的扩展，以增加其表达能力，同时尽可能地保持其编译时可预测性。我们提出了一个参数化的数据流框架，可以作为一个元建模技术，显着提高表达能力的任意数据流模型，拥有一个定义良好的概念的图迭代。事实上，参数化的CSDF框架与许多现有的DSP CSDF模型兼容，包括SDF，CSDF和SSDF。我们开发了一个精确的，正式的语义参数化的同步同步同步并行，允许数据相关的动态DSP系统建模在一个自然和直观的方式。建模环境的理想属性，如动态可重新配置性和设计重用，成为参数化框架的固有特性。使用语音压缩应用程序的示例来说明参数化建模技术在现实生活中依赖于数据的DSP系统中的功效。
Dataflow has proven to be an attractive computation model for programming DSP applications. A restricted version of dataflow, termed synchronous dataflow (SDF), that offers strong compile-time predictability properties, but has limited expressive power, has been studied extensively in the DSP context. Many extensions to synchronous dataflow have been proposed to increase its expressivity, while maintaining its compile-time predictability properties as much as possible. We propose a parameterized data-flow framework that can be applied as a meta-modeling technique to significantly improve the expressive power of an arbitrary data-flow model that possesses a well-defined concept of a graph iteration. Indeed, the parameterized dataflow framework is compatible with many of the existing dataflow models for DSP including SDF, CSDF, and SSDF. We develop a precise, formal semantics for parameterized synchronous dataflow that allows data-dependent dynamic DSP systems to be modeled in a natural and intuitive fashion. Desirable properties of a modeling environment like dynamic re-configurability and design re-use emerge as inherent characteristics of the parameterized framework. An example of a speech compression application is used to illustrate the efficacy of the parameterized modeling techniques in real-life data-dependent DSP systems.