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arXiv · 1702.02313

FASHION: Fault-Aware Self-Healing Intelligent On-chip Network

Pengju Ren·Michel A. Kinsy·Mengjiao Zhu·Shreeya Khadka·Mihailo Isakov·Aniruddh Ramrakhyani·Tushar Krishna·Nanning Zheng
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Abstract

To avoid packet loss and deadlock scenarios that arise due to faults or power gating in multicore and many-core systems, the network-on-chip needs to possess resilient communication and load-balancing properties. In this work, we introduce the Fashion router, a self-monitoring and self-reconfiguring design that allows for the on-chip network to dynamically adapt to component failures. First, we introduce a distributed intelligence unit, called Self-Awareness Module (SAM), which allows the router to detect permanent component failures and build a network connectivity map. Using local information, SAM adapts to faults, guarantees connectivity and deadlock-free routing inside the maximal connected subgraph and keeps routing tables up-to-date. Next, to reconfigure network links or virtual channels around faulty/power-gated components, we add bidirectional link and unified virtual channel structure features to the Fashion router. This version of the router, named Ex-Fashion, further mitigates the negative system performance impacts, leads to larger maximal connected subgraph and sustains a relatively high degree of fault-tolerance. To support the router, we develop a fault diagnosis and recovery algorithm executed by the Built-In Self-Test, self-monitoring, and self-reconfiguration units at runtime to provide fault-tolerant system functionalities. The Fashion router places no restriction on topology, position or number of faults. It drops 54.3-55.4% fewer nodes for same number of faults (between 30 and 60 faults) in an 8x8 2D-mesh over other state-of-the-art solutions. It is scalable and efficient. The area overheads are 2.311% and 2.659% when implemented in 8x8 and 16x16 2D-meshes using the TSMC 65nm library at 1.38GHz clock frequency.

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Pengju Ren, Michel A. Kinsy, Mengjiao Zhu, Shreeya Khadka, Mihailo Isakov, Aniruddh Ramrakhyani, Tushar Krishna, Nanning Zheng. 2017-02-08. FASHION: Fault-Aware Self-Healing Intelligent On-chip Network. https://arxiv.org/abs/1702.02313

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