Adaptive routing framework for network on chip architectures

Mustafa, Naveed Ul; Öztürk, Özcan; Niar, Smaïl

doi:10.1145/2852339.2852344

Cited by 2 publications

(1 citation statement)

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“…Also, various routing algorithms do well for specific traffic; thus, getting better performance with one routing algorithm for all traffic patterns is hard. Ul Mustafa et al [111] presents an Adaptive-Routing-Framework that makes use of XY, negative-first, and west-first. It initially identifies traffic patterns and then selects the routing algorithm accordingly.…”

Section: ) Congestion Propagation Network -Using Dedicated Wirementioning

confidence: 99%

Review, Analysis, and Implementation of Path Selection Strategies for 2D NoCs

et al. 2022

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Recent advances in very-large-scale integration (VLSI) technologies have offered the capability of integrating thousands of processing elements onto a single silicon microchip. Multiprocessor systems-on-chips (MPSoCs) are the latest creation of this technology evolution. Network-on-Chip (NoC) is a scalable and promising interconnection solution used by MPSoCs to achieve high performance. Routing algorithms provide a path to a packet toward the destination. For this, these algorithms should exhibit two characteristics. First, the route selection function should provide enough degree of adaptiveness to avoid network congestion. Second, it should not offer stale information on network congestion status to the neighboring routers. Many researchers have investigated network congestion and proposed techniques to control/avoid congestion. Such congestion avoidance-based algorithms significantly improve NoC performance. However, they may result in hardware overhead for side network implementation to collect congestion status. This paper reviews the selection strategies used to reduce congestion in NoC and classifies them on the technique adopted to handle and propagate congestion information. Additionally, this paper provides the implementation and analysis details of some state-of-art selection methods.

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Section: ) Congestion Propagation Network -Using Dedicated Wirementioning

confidence: 99%