Abstract

The Information Processing Factory (IPF) project aims to exploit self-awareness principles, together with lessons learned from large-scale factories to contain complexity, achieve predictability and manage robust system design in the context of autonomous Multi-Processor System-on-Chip (MPSoC) platforms in Cyber-Physical Systems (CPS) and the Internet of Things (IoT). The goals of the project are to holistically couple key notions of self-awareness, self-organization, and large scale factory automation to manage the multi-scale and multi-dimensional complexity of emerging MPSoC platforms that execute dynamic workloads under a multitude of hard and soft constraints. Sensory information at multiple scales -- on-chip, run-time systems, applications -- will need to be monitored, fused, and interpreted intelligently to assess health status, mitigate adverse effects, and optimize system goals using a novel hierarchy of self-aware control loops that can both manage complexity, as well as achieve guarantees. Additionally, the project aims to deploy a unique scalable distributed run-time Major Activities: verification (NUVA) architecture that should enable hardware-supported cross-layer monitoring of parametric specifications, allowing both incorporation of trace-driven historical evidence for model building, as well as run-time execution for model enhancement. The overall goals of the approach are to synergistically cover the multi-tiered abstraction hierarchy from low level VLSI circuits to runtime OS and dynamic application software. The project will engage in a unique parallel collaboration with DFG-funded German partners (at TU Braunschweig and TU Munich), with a dual focus on investigating self-aware IPF principles for system-on-chip exemplars (US team), as well as for autonomous driving (German team). By leveraging the German research partners' autonomous driving exemplar, the goal is to demonstrate self-aware IPF principles at multiple, collaborative scales of autonomy and system design. https://underline.io/speakers/6768-nikil-dutt

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call