Actor-Oriented Synthesis and Optimization of Digital Hardware/Software Systems at System-Level

系统级数字硬件/软件系统面向参与者的综合和优化

• 批准号: 101967358
• 负责人: Professor Dr.-Ing. Christian Haubelt
• 金额: --
• 依托单位: Institut für Angewandte Mikroelektronik und Datentechnik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2009
• 资助国家: 德国
• 起止时间: 2008-12-31 至 2015-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/101967358?language=en
• 关键词: Actor; Oriented; Synthesis; Optimization; Digital

The goal of this project is to sustainably improve the implementation of dataflow-dominated applications in the domain of embedded systems as heterogeneous multiprocessor system with respect to performance as well as energy and cost efficiency. For this purpose, novel methods for the synthesis and optimization of embedded systems at system-level are developed. Starting from an actor-oriented application description, approaches for automatic design space exploration are studied in order to identify solutions, which serve as starting point for model refinement and synthesis of optimal (partial) hardware and software solutions. As a first important step, domain-specific optimization and synthesis approaches have been studied during the first funding period. In particular, it has been shown that novel clustering methods for islands consisting of static dataflow actors allow for an accurate analysis and the minimization of timing properties, energy con-sumption, and cost. In the second funding period, those quality improving and complexity reducing system synthesis methods will be extended in many different ways: On the specification side, novel clustering methods for more general models, especially applications with dynamic actor behavior, will be studied. The clustering methods, which have been basically considered in the context of scheduling overhead reduction of single-processor software implementations, will be extended towards multi-processor target platforms. By this, a prescheduling of data traffic on the interconnection network is achieved, which is expected to significantly reduce the communication and arbitration overhead. Moreover, by applying clustering during high-level synthesis, and thus hardware synthesis, we propose a novel transactoral high-level synthesis methodology. In contrast to available tools, which often only permit the efficient synthesis of single actors, such a holistic synthesis of a complete cluster promises substantial energy and cost improvements (e.g., chip area). Finally, the clustering methods should be seamlessly supported during design space exploration. As a consequence, it is possible to benefit from the novel methods across hardware/software boundaries and, as a result, important implementation properties, e.g., performance, energy, and cost efficiency, are improved in an application-specific way. The methods, which are developed within this project, can be seen to be orthogonal to existing system synthesis approaches and serve as a new starting point to sustainably reduce the complexity in embedded systems design.

该项目的目标是在性能、能源和成本效率方面持续改进嵌入式系统（异构多处理器系统）领域中数据流主导的应用程序的实现。为此，开发了系统级嵌入式系统综合和优化的新方法。从面向参与者的应用描述开始，研究自动设计空间探索的方法，以确定解决方案，作为模型细化和最佳（部分）硬件和软件解决方案综合的起点。作为第一个重要步骤，在第一个资助期间研究了特定领域的优化和综合方法。特别是，已经表明，由静态数据流参与者组成的岛屿的新颖聚类方法可以实现精确分析并最小化定时属性、能耗和成本。在第二个资助期间，这些质量提高和复杂性降低的系统综合方法将以多种不同的方式扩展：在规范方面，将研究更通用模型的新颖聚类方法，特别是具有动态参与者行为的应用。集群方法基本上是在减少单处理器软件实现的调度开销的背景下考虑的，将扩展到多处理器目标平台。通过这种方式，实现了互连网络上数据流量的预调度，预计将显着减少通信和仲裁开销。此外，通过在高级综合以及硬件综合期间应用聚类，我们提出了一种新颖的事务高级综合方法​​。与通常仅允许单个参与者的有效合成的可用工具相比，完整集群的这种整体合成有望显着改善能源和成本（例如，芯片面积）。最后，在设计空间探索过程中应该无缝支持聚类方法。因此，可以从跨越硬件/软件边界的新颖方法中受益，并且因此，重要的实现属性，例如性能、能源和成本效率，以特定于应用的方式得到改进。该项目中开发的方法可以视为与现有系统综合方法正交，并作为可持续降低嵌入式系统设计复杂性的新起点。

项目成果

Quasi-static scheduling of data flow graphs in the presence of limited channel capacities

• DOI: 10.1109/estimedia.2015.7351766
• 发表时间: 2015-12
• 期刊: 2015 13th IEEE Symposium on Embedded Systems For Real-time Multimedia (ESTIMedia)
• 作者: J. Falk;Tobias Schwarzer;M. Glaß;J. Teich;Christian Zebelein;C. Haubelt

Sensor-based online hand gesture recognition on multi-core DSPs

多核 DSP 上基于传感器的在线手势识别

• DOI: 10.1109/globalsip.2015.7418327
• 发表时间: 2015
• 期刊: 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
• 作者: Florian Grützmacher;Johann-Peter Wolff;Christian Haubelt
• 通讯作者: Christian Haubelt

A rule-based quasi-static scheduling approach for static islands in dynamic dataflow graphs

动态数据流图中静态孤岛的基于规则的准静态调度方法

• DOI: 10.1145/2442116.2442124
• 发表时间: 2013
• 期刊: ACM Trans. Embed. Comput. Syst.
• 作者: Joachim Falk;Christian Zebelein;Christian Haubelt;Jürgen Teich
• 通讯作者: Jürgen Teich

Throughput-optimizing Compilation of Dataflow Applications for Multi-Cores using Quasi-Static Scheduling

使用准静态调度的多核数据流应用程序的吞吐量优化编译

• DOI: 10.1145/2764967.2764972
• 发表时间: 2015
• 期刊: Proceedings of the 18th International Workshop on Software and Compilers for Embedded Systems
• 作者: Tobias Schwarzer;Joachim Falk;Michael Glaß;Jürgen Teich;Christian Zebelein;Christian Haubelt
• 通讯作者: Christian Haubelt