A link-load balanced low energy mapping and routing for NoC

Wenbiao Zhou; Yan Zhang; Zhigang Mao

A link-load balanced low energy mapping and routing for NoC

Wenbiao Zhou^*
, Yan Zhang
, Zhigang Mao

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 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 is a particle swarm optimization (PSO) based two phases process, one is mapping core onto NoC, and another is the allocation of routing path. The proposed algorithm uses a novel representation for PSO particle. 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
Title of host publication	Embedded Software and Systems - Third International Conference, ICESS 2007, Proceedings
Pages	59-66
Number of pages	8
State	Published - 2007
Externally published	Yes
Event	3rd International Conference on Embedded Software and Systems, ICESS 2007 - Daegu, Korea, Republic of Duration: 14 May 2007 → 16 May 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4523 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Conference on Embedded Software and Systems, ICESS 2007
Country/Territory	Korea, Republic of
City	Daegu
Period	14/05/07 → 16/05/07

UN SDGs

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

SDG 7 Affordable and Clean Energy

Cite this

@inproceedings{6c291045a38d431e8efbe2689d15e0c3,

title = "A link-load balanced low energy 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 is a particle swarm optimization (PSO) based two phases process, one is mapping core onto NoC, and another is the allocation of routing path. The proposed algorithm uses a novel representation for PSO particle. Experimental results show that the proposed technique can reduce the normalized worst link-load by 20\% on average while guarantee a low energy consumption.",

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

year = "2007",

language = "英语",

isbn = "3540726845",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "59--66",

booktitle = "Embedded Software and Systems - Third International Conference, ICESS 2007, Proceedings",

note = "3rd International Conference on Embedded Software and Systems, ICESS 2007 ; Conference date: 14-05-2007 Through 16-05-2007",

}

Zhou, W, Zhang, Y & Mao, Z 2007, A link-load balanced low energy mapping and routing for NoC. in Embedded Software and Systems - Third International Conference, ICESS 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4523 LNCS, pp. 59-66, 3rd International Conference on Embedded Software and Systems, ICESS 2007, Daegu, Korea, Republic of, 14/05/07.

A link-load balanced low energy mapping and routing for NoC. / Zhou, Wenbiao; Zhang, Yan; Mao, Zhigang.
Embedded Software and Systems - Third International Conference, ICESS 2007, Proceedings. 2007. p. 59-66 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4523 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A link-load balanced low energy mapping and routing for NoC

AU - Zhou, Wenbiao

AU - Zhang, Yan

AU - Mao, Zhigang

PY - 2007

Y1 - 2007

N2 - 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 is a particle swarm optimization (PSO) based two phases process, one is mapping core onto NoC, and another is the allocation of routing path. The proposed algorithm uses a novel representation for PSO particle. Experimental results show that the proposed technique can reduce the normalized worst link-load by 20% on average while guarantee a low energy consumption.

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 is a particle swarm optimization (PSO) based two phases process, one is mapping core onto NoC, and another is the allocation of routing path. The proposed algorithm uses a novel representation for PSO particle. 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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M3 - 会议稿件

AN - SCOPUS:38749107242

SN - 3540726845

SN - 9783540726845

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 59

EP - 66

BT - Embedded Software and Systems - Third International Conference, ICESS 2007, Proceedings

T2 - 3rd International Conference on Embedded Software and Systems, ICESS 2007

Y2 - 14 May 2007 through 16 May 2007

ER -

A link-load balanced low energy mapping and routing for NoC

Abstract

Publication series

Conference

UN SDGs

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