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首页> 外文会议>2011 International Conference on Embedded Computer Systems : Architectures, Modeling and Simulation >Methods for design and implementation of dynamic signal processing systems
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Methods for design and implementation of dynamic signal processing systems

机译：动态信号处理系统的设计与实现方法

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Dynamic signal processing systems, where significant changes in functionality and computational structure must be achieved while applications are running, are becoming increasingly important as computational platforms become more powerful, and feature-sets of DSP-powered products become more sophisticated. This talk covers two new, complementary dataflow models of computation that are being developed in the Maryland DSPCAD Research Group to help address the challenges of structured design, simulation, and synthesis of dynamic signal processing systems. The first of these models, called enable-invoke dataflow (EIDF), is aimed improving the predictability of actor invocation and the efficiency with which dynamic scheduling techniques can be realized. The second model, called the dataflow schedule graph (DSG), provides a formal framework for representing and analyzing dataflow graph schedules that is rooted in formal dataflow semantics, and accommodates a wide range of schedule classes, including static, quasi-static, and dynamic schedules, as well as both sequential and parallel schedule formats. In this talk, I will present the EIDF and DSG models and discuss their potential to improve the processes by which dynamic signal processing systems are developed.
机译：动态信号处理系统（在应用程序运行时必须在功能和计算结构上进行重大更改）随着计算平台变得越来越强大，DSP驱动产品的功能集变得越来越复杂而变得越来越重要。本演讲涵盖了马里兰DSPCAD研究小组正在开发的两个新的互补数据流计算模型，以帮助解决动态信号处理系统的结构化设计，仿真和综合方面的挑战。这些模型中的第一个称为启用调用数据流（EIDF），旨在提高参与者调用的可预测性以及实现动态调度技术的效率。第二个模型称为数据流计划图（DSG），它提供了一个表示和分析数据流图计划的正式框架，该框架植根于正式的数据流语义中，并且可容纳各种计划类，包括静态，准静态和动态时间表，以及顺序和并行时间表格式。在本次演讲中，我将介绍EIDF和DSG模型，并讨论它们在改进动态信号处理系统开发过程中的潜力。

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