Link-load balance aware mapping and routing for NoC

Wenbiao Zhou; Zhang Yan; Zhigang Mao

Link-load balance aware mapping and routing for NoC

Wenbiao Zhou^*
, Zhang Yan
, Zhigang Mao

^*Corresponding author for this work

Harbin Institute of Technology Shenzhen
Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

The paper presents a novel mapping and routing technique for the mesh based NoC design problem with an objective of minimizing the energy consumption and normalized worst link-load. The proposed algorithm PLBMR is a particle swarm optimization (PSO) based two phases process, one is mapping core onto NoC to minimize the NoC communication energy consumption, and another is the allocation of routing path for keeping the link-load balance. and the paper presents the detail implementation of the PLBMR algorithm. Experimental results show that the proposed technique can reduce the normalized worst link-load by 20% on average while guarantee a low energy consumption.

Original language	English
Pages (from-to)	583-591
Number of pages	9
Journal	WSEAS Transactions on Circuits and Systems
Volume	6
Issue number	11
State	Published - Nov 2007
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Link-balance
Low-power
Mapping
NoC
Routing

Cite this

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title = "Link-load balance aware mapping and routing for NoC",

abstract = "The paper presents a novel mapping and routing technique for the mesh based NoC design problem with an objective of minimizing the energy consumption and normalized worst link-load. The proposed algorithm PLBMR is a particle swarm optimization (PSO) based two phases process, one is mapping core onto NoC to minimize the NoC communication energy consumption, and another is the allocation of routing path for keeping the link-load balance. and the paper presents the detail implementation of the PLBMR algorithm. Experimental results show that the proposed technique can reduce the normalized worst link-load by 20\% on average while guarantee a low energy consumption.",

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author = "Wenbiao Zhou and Zhang Yan and Zhigang Mao",

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T1 - Link-load balance aware mapping and routing for NoC

AU - Zhou, Wenbiao

AU - Yan, Zhang

AU - Mao, Zhigang

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AB - The paper presents a novel mapping and routing technique for the mesh based NoC design problem with an objective of minimizing the energy consumption and normalized worst link-load. The proposed algorithm PLBMR is a particle swarm optimization (PSO) based two phases process, one is mapping core onto NoC to minimize the NoC communication energy consumption, and another is the allocation of routing path for keeping the link-load balance. and the paper presents the detail implementation of the PLBMR algorithm. Experimental results show that the proposed technique can reduce the normalized worst link-load by 20% on average while guarantee a low energy consumption.

KW - Link-balance

KW - Low-power

KW - Mapping

KW - NoC

KW - Routing

UR - https://www.scopus.com/pages/publications/43249110422

M3 - 文章

AN - SCOPUS:43249110422

SN - 1109-2734

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JO - WSEAS Transactions on Circuits and Systems

JF - WSEAS Transactions on Circuits and Systems

IS - 11

ER -

Link-load balance aware mapping and routing for NoC

Abstract

UN SDGs

Keywords

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