用于3D noc的高度自适应和拥塞感知路由

Manoj Kumar, V. Laxmi, M. Gaur, M. Daneshtalab, S. Ko, Mark Zwolinski
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引用次数: 1

摘要

在本文中,我们提出了一种新的高自适应和拥塞感知的3D网格路由算法,该算法同样适用于2D网格。该算法允许通道依赖图(CDG)中的循环依赖,提供了更高的自适应程度。该算法采用感知拥塞的信道选择策略,实现了网络流量的均衡分布。只有当最小路径在相邻通道上拥塞时,数据包才会遵循非最小路径。我们的算法所采用的死锁避免方法仍然具有成本效益,因为它沿着Y和Z的每个维度使用一个额外的虚拟通道来实现死锁自由。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Highly adaptive and congestion-aware routing for 3D NoCs
In this paper, we propose a novel highly adaptive and congestion aware routing algorithm 3D meshes which is equally applicable to 2D meshes as well. The proposed algorithm allows cyclic dependencies in channel dependency graph (CDG) providing higher degree of adaptiveness. The algorithm uses congestion-aware channel selection strategy that results balanced distribution of traffic flows across the network. A packet follows non-minimal paths only when minimal paths are congested at the neighboring channels. The deadlock avoidance methodology adopted by our algorithm remains cost-efficient as it uses one extra virtual channel along each of Y and Z dimensions to achieve deadlock freedom.
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