Bi-Objective Cost Function for Adaptive Routing in Network-on-Chip

Asma Benmessaoud Gabis;Pierre Bomel;Marc Sevaux
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引用次数: 4

Abstract

This paper proposes a new fully adaptive routing protocol for 2D-mesh Network-on-Chip (NoCs). It is inspired from the A-star search algorithm and called Heuristic based Routing Algorithm (HRA). It is distributed, congestion-aware, and fault-tolerant by using only the local information of each router neighbors. HRA does not use Virtual Channels (VCs) but tries to reduce the risk of deadlock by avoiding the 2-nodes and the 4-nodes loops. HRA is based on a bi-objective weighted sum cost function. Its goal is optimizing latency and throughput. Experiments show that HRA ensures a good reliability rate despite the presence of many faulty links. In addition, our approach reports interesting latencies and average throughput values when a non-dominated solution is chosen.
片上网络自适应路由的双目标代价函数
本文提出了一种新的用于2D mesh片上网络(NoCs)的完全自适应路由协议。它的灵感来源于A星搜索算法,被称为基于启发式的路由算法(HRA)。它是分布式的、拥塞感知的、容错的,只使用每个路由器邻居的本地信息。HRA不使用虚拟通道(VC),但试图通过避免2节点和4节点循环来降低死锁的风险。HRA基于双目标加权和成本函数。它的目标是优化延迟和吞吐量。实验表明,尽管存在许多故障链路,HRA仍能确保良好的可靠性。此外,当选择非主导解决方案时,我们的方法报告了有趣的延迟和平均吞吐量值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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