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Topology Reconfiguration for NoCs: A Fast Reconfiguration Algorithm Based on Monotonic Path Shifting.

Mingzhi Zhang1, Zhijia Wang1, Zhenxing Wang1

  • 1College of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, China.

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|May 4, 2026
PubMed
Summary

A new Monotonic Path Shift (MPS) algorithm reconstructs Network-on-Chip (NoC) topologies after failures. MPS improves core reuse and recovery speed, enhancing chip stability and performance.

Keywords:
REmeshcore-level redundancymonotonic path shiftnetwork-on-chiptopological reconstruction

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Area of Science:

  • Computer Engineering
  • Semiconductor Technology
  • Network Architecture

Background:

  • Network-on-Chip (NoC) is crucial for multi-core communication in advanced semiconductors.
  • Component failures degrade NoC performance, necessitating efficient topology reconstruction.
  • Existing methods like 2D mesh and REmesh have limitations in regularity, complexity, and cost.

Purpose of the Study:

  • To propose a novel Monotonic Path Shift (MPS) topological reconstruction algorithm for REmesh NoCs.
  • To address the limitations of conventional methods by improving efficiency and recovery.
  • To enhance the stability and performance of NoCs in the presence of core failures.

Main Methods:

  • Developed the Monotonic Path Shift (MPS) algorithm for REmesh NoCs with core-level redundancy.
  • Localized reconstruction decisions via monotonic paths between failed and redundant cores.
  • Incorporated region retention and local fallback to manage path conflicts.

Main Results:

  • MPS significantly reduces algorithm time complexity with a proven runtime upper bound.
  • Achieved reconstruction success rates comparable to existing ACTR algorithms, even under high fault densities.
  • Demonstrated substantial improvements in core reuse rate (approx. 10% increase) and reduced migration time (several orders of magnitude).

Conclusions:

  • MPS offers an efficient and effective solution for Network-on-Chip topology reconstruction.
  • The algorithm enhances resource utilization and accelerates recovery, lowering online overhead.
  • MPS contributes to more robust and stable semiconductor systems through rapid, localized fault recovery.