Flexible Umsetzung von Industrial Analytics Funktionen auf rekonfigurierbaren Systems-on-Chip (rSoC) (T01*)

工业分析是当前自动化的趋势，它意味着从机器和生产过程中捕获和分析大量测量数据，为未来的运营创造附加值。Weidmüller公司将自己定位于这一业务领域。为了实现嵌入式分析，其中分析功能在生产设施内的自动化控制器中执行，Weidmüller依赖于可重构片上系统（rSoC）技术。使用rSoC进行工业分析的挑战是为系统设计提供所需的灵活性，并掌握rSoC平台日益增加的异构性。设计时需要灵活性，因为需要以特定于应用的方式选择、配置和组装工业分析功能。rSoC的灵活系统设计对于能够快速评估设计方案并将选定的设计实现为硬件/软件系统至关重要。此外，在运行时还需要灵活性，以在不同的计算负载下有效地利用rSoC资源。技术趋势推动rSoC平台向更高的异质性发展。虽然异构性保证了性能的提高，但它也导致了更多的设计过程，并使高效运行时方法的设计更具挑战性。不断增加的工作负载动态和计算机体系结构的异构性的结合也是CRC 901“On-The-Fly Computing”的子项目C2的基础研究的主要主题。在那里，我们研究了异构计算节点的新架构和编程模型。特别是，我们开发的跨模态和异构迁移的方法，功能可以在软件和硬件之间的运行时移动，但也不同的处理器类型之间，优化运行时和能耗。通过这个转移项目，我们旨在实现以下目标：（i）我们将整合相关的工业分析功能，并为rSoC目标开发合适的硬件/软件分区。(ii)我们将开发架构和编程环境，以实现rSoC上工业分析功能的跨模式和异构迁移。(iii)我们将实验证明的可行性和性能的两个工业示范，塑料成型机和工业路由器上开发的方法。

Industrial analytics is a current trend in automation and denotes capturing and analysing a multitude of measurements from machines and production processes to create added value for future operation. The company Weidmüller positions itself in this business area. For realising embedded analytics, where the analytics functions are executed in the automation controllers within a production facility, Weidmüller relies on reconfigurable system-on-Chip (rSoC) technology. The challenges in using rSoC for industrial analytics are to provide the required flexibility for system design and to master the increasing heterogeneity of rSoC platforms. Flexibility is required during design time, since industrial analytics functions need to be selected, configured and assembled in an application-specific manner. A flexible system design for rSoCs is of utmost importance to be able to quickly evaluate design alternatives and to realise selected designs as hardware/software systems. Moreover, flexibility is also required at runtime to make efficient use of rSoC resources under varying computational loads. Technology trends drive rSoC platforms towards increased heterogeneity. Although heterogeneity promises improved performance, it also leads to more involved design processes and makes the design of efficient runtime methods more challenging. The combination of increasing workload dynamics and heterogeneity of computer architectures is also the leading theme of the foundational research in the subproject C2 of the CRC 901 ”On-The-Fly Computing". There, we investigate novel architectures and programming models for heterogeneous compute nodes. In particular, we develop methods for the transmodal and heterogeneous migration where functions can be moved at runtime between software and hardware, but also between different processor types, to optimise for runtime and energy consumption. With this transfer project we aim at reaching the following objectives: (i) We will characterise relevant industrial analytics functions and develop suitable hardware/software partitions for rSoC targets. (ii) We will develop architectures and programming environments to enable transmodal and heterogeneous migration for industrial analytics functions on rSoC. (iii) We will experimentally demonstrate the feasibility and performance of the developed methods on two industrial demonstrators, a plastic moulding machine and an industrial router.