Conquering MPSoC Complexity with Principles of aSelf-Aware Information Processing Factory - Towards Networked and Data-centric Platforms (IPF 2.0)

DFG/NSF继续项目提案将信息处理工厂(IPF)的概念扩展到分布式自主多核系统(MPSoC)，以及在网络物理应用和物联网中具有不同连接性的MPSoC系统。IPF代表了平台设计的范式转变，将长期、稳健和相互依赖的系统运营置于平台设计的重点，而不是现有的以硬件/软件组件为中心的模式。这样的重新关注不仅是为了为摩尔定律即将结束时日益增长的硬件问题做好准备，也是在联网IT系统不仅远远超过人类的数量，而且当它们的复杂性远远超出人类感知的情况下管理复杂性所必需的。虽然IT应用和服务的这种复杂性增长对社会上的大部分人都是可见的，并得到了公开讨论，但复杂性的增长同样影响到平台(计算机、通信、存储等)。这使得这种不断增长的应用成为可能。就像工厂一样，IPF永久地适应不断变化的需求、资源可用性和健康状态，并协调IPF集群的物流。为了通过尽可能多的分布式自治和尽可能少的集中控制来克服复杂性，该方法基于自我意识和自组织的原则来协调一个或多个设备中的MPSoC。需要特别注意共存的关键和混合关键应用程序，这些应用程序具有性能保证(实时、安全、…)和隔离在整个产品生命周期内都是强制性的。在第一阶段，为按照森林小组模式组织MPSoC奠定了基础，并通过实际例子进行了评估。所要求的第二阶段超越了单个MPSoC，首先是本地互联的系统，这些系统仍然由共同的计划控制，然后是具有紧急行为的动态合作集群，可与全球供应链中几家工厂的相互作用相媲美。将分布式协同规划、验证和传感的车辆排成一组作为常见的研究场景。德国合作伙伴将专注于以数据为中心的车载MPSoC平台的动态控制，将Dynamic-NUMA作为组织、引导、存储以及高容量和高比特率数据流的硬件和软件(对象)缓存的新“主旨”或方法。这样，具有大量I/O、传感器源以及传感器融合的分布式系统的性能和能效将得到提高，同时将确保遵守实时和安全保证。对于实验验证，可以获得车辆网络的物理原型和相应的仿真环境。在项目第一阶段期间，与美国合作伙伴在个人和技术层面建立了良好的交流，并将继续下去。

This DFG/NSF continuation project proposal expands the idea of an Information Processing Factory (IPF) towards distributed autonomous many-core systems (MPSoC), as well as towards systems-of-MPSoCs with varying connectivity, in cyber-physical applications and the Internet of Things. IPF represents a paradigm shift in platform design, moving long term, robust and interdependent system operation in the focus of platform design rather than the existing hardware/software component-centricity. Such a refocus is not only needed to prepare for growing hardware problems towards the end of Moore’s Law, but is a necessity to manage complexity when networked IT systems not only by far outnumber humans but when their complexity by far exceeds human perception. While such complexity growth of IT applications and services is visible to large parts of the society, and is publicly discussed, the complexity growth equally affects the platforms (computers, communication, storage, etc.) which enable such growing applications. Like a factory, the IPF permanently adapts to changing requirements, resource availability and health state, and coordinates logistics of IPF clusters. To conquer complexity through as much as possible distributed autonomy with as little centralized control as necessary, the approach is based on the principles of self-awareness and self-organization to coordinate MPSoCs in one or several devices. Particular attention is needed for coexisting critical and mixed criticality applications where performance guarantees (real-time, safety, …) and isolation are mandatory throughout the product lifetime. In phase 1, the foundation for organizing MPSoCs along the IPF paradigm were laid and evaluated by realistic examples. The requested phase 2 goes beyond individual MPSoCs, first towards locally interconnected systems, which are still controlled by a common plan, then towards dynamically cooperating clusters with emergent behavior, comparable to the interplay of several factories in global supply chains. Vehicle platooning, with distributed collaborative planning, verification and sensing shall be used as common research scenario. The German partners will focus on dynamic control of data-centric in-vehicle MPSoC platforms, with Dynamic-NUMA as the new “leitmotif” or method for organizing, directing, storing as well as hardware and software (object) caching of high volume and high bit-rate data streams. Thus, the performance and energy efficiency of distributed systems with numerous I/O, sensor sources, as well as sensor fusion will be improved while, at the same time, compliance with real-time and safety guarantees will be ensured. For experimental validation, a physical prototype of a vehicle network and corresponding simulation environments are available. An excellent exchange with the US partners, at personal and technical levels, has been established during project phase 1 and will be continued.