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首页> 外文期刊>Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on >Ant Colony Optimization-Based Fault-Aware Routing in Mesh-Based Network-on-Chip Systems
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Ant Colony Optimization-Based Fault-Aware Routing in Mesh-Based Network-on-Chip Systems

机译:基于网格的片上网络系统中基于蚁群优化的故障感知路由

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摘要

The advanced deep submicrometer technology increases the risk of failure for on-chip components. In advanced network-on-chip (NoC) systems, the failure constrains the on-chip bandwidth and network throughput. Fault-tolerant routing algorithms aim to alleviate the impact on performance. However, few works have integrated the congestion-, deadlock-, and fault-awareness information in channel evaluation function to avoid the hotspot around the faulty router. To solve this problem, we propose the ant colony optimization-based fault-aware routing (ACO-FAR) algorithm for load balancing in faulty networks. The behavior of an ant colony while facing an obstacle (failure in NoC) can be described in three steps: 1) encounter; 2) search; and 3) select. We implement the corresponding mechanisms as: 1) notification of fault information; 2) path searching mechanism; and 3) path selecting mechanism. With proposed ACO-FAR, the router can evaluate the available paths and detour packets through a less-congested fault-free path. The simulation results show that this paper has higher throughput than related works by 29.1%–66.5%. In addition, ACO-FAR can reduce the undelivered packet ratio to 0.5%–0.02% and balance the distribution of traffic flow in the faulty network.
机译:先进的深亚微米技术增加了片上组件发生故障的风险。在高级片上网络(NoC)系统中,故障会限制片上带宽和网络吞吐量。容错路由算法旨在减轻对性能的影响。但是,很少有工作将拥塞,死锁和故障意识信息集成到信道评估功能中,以避开故障路由器周围的热点。为了解决这个问题,我们提出了一种基于蚁群优化的故障感知路由(ACO-FAR)算法,用于故障网络的负载均衡。蚂蚁在面对障碍时的行为(NoC中的失败)可以通过三个步骤来描述:1)遭遇; 2)搜索;和3)选择。我们实现相应的机制为:1)故障信息通知; 2)路径搜索机制; 3)路径选择机制。借助提出的ACO-FAR,路由器可以评估可用路径,并通过一条不太拥塞的无故障路径绕过数据包。仿真结果表明,本文的吞吐率比相关论文高29.1%–66.5%。另外,ACO-FAR可以将未送达的数据包比率降低到0.5%–0.02%,并平衡故障网络中流量的分布。

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