End-to-End Error Correction and Online Diagnosis for On-Chip Networks

We propose a comprehensive solution for end-to-end (e2e) error correction and online defect diagnosis for on-chip networks. For e2e error correction, we propose an interleaved error-locality-aware code that efficiently corrects both random and burst errors. We demonstrate that for 64-bit wide network links, interleaving four of the proposed code, 2G4L(26,16), each of which supports 16-bit data, can correct as many as two random errors or 16 adjacent errors. In order to maintain the error correction capability of the Error Correcting Code (ECC) for transient and intermittent errors, we further propose an e2e data gathering and online diagnosis approach that locates the defective wires and replaces them with the spare wires embedded in the network. Our analytical and experimental studies show that under heavy noise, high escape rate, uncertainty about routing, and many other harmful effects, the diagnostic data collected by the proposed approach are accurate enough for the purpose of passive diagnosis.