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σnLBDR: generic congestion handling routing implementation for two-dimensional mesh network-on-chip

机译:σnLBDR:二维网状片上网络的通用拥塞处理路由实现

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The number of cores on a chip is increasing from a few cores to thousands. However, the communication mechanisms for these systems do not scale at the same pace, leading to certain challenges. One of them is on-chip congestion. There are many table-based approaches for congestion handling and avoidance, but these are not acceptable as they impose high area and power overheads. In this study, the authors propose two congestion handling strategies aiming to capture the congestion in few bits to avoid congested routes. The first approach called σnLBDR (logic based distributed routing) captures congestion present at nodes n-hop away from the current node, reducing area, power and overall packet latency. However, all nodes in the network do not experience same congestion level. For this, their second approach, weighted σnLBDR, uses a different set of bits for each node and results in the further improvement in area and power. This study shows a comparison of both approaches with each other and also with other similar approaches. From their experimental results, they show that σnLBDR and weighted σnLBDR improve latency by 20 and 30%, respectively, and have less area and power overhead as compared with baseline table-based approach.
机译:芯片上的内核数量从几个内核增加到数千个。但是,这些系统的通信机制无法以相同的速度扩展,从而带来了某些挑战。其中之一是片上拥塞。有许多基于表的方法可用于拥塞处理和避免拥塞,但是由于它们会增加面积和电源开销,因此不可接受。在这项研究中,作者提出了两种拥塞处理策略,旨在捕获少量拥塞以避免拥塞路线。第一种方法称为σnLBDR(基于逻辑的分布式路由),可捕获距离当前节点n跳的节点处出现的拥塞情况,从而减少面积,功耗和整体数据包延迟。但是,网络中的所有节点都不会经历相同的拥塞级别。为此,他们的第二种方法加权σnLBDR,为每个节点使用了一组不同的位,从而进一步改善了面积和功耗。这项研究显示了两种方法之间以及与其他类似方法之间的比较。从他们的实验结果中,他们表明,与基于基线表的方法相比,σnLBDR和加权σnLBDR分别将延迟提高了20%和30%,并且面积和功耗开销更小。

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