An on-line reconfigurable four-ary tree-based network on chip for distributed particle filters

This paper presents an on-line reconfigurable four-ary tree-based network on chip for distributed particle filters. The proposed architecture model provides the capability of fast prototyping a large scale of particle filters system basing on the idea of reusability. Furthermore, it supports dynamic...

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Published in:2012 2nd International Conference on Computer Science and Network Technology pp. 2102 - 2106
Main Authors: Wang, Yimu, Pan, Yun, Long, Yanchen, Yan, Xiaolang, Huan, Ruohong
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2012
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ISBN:1467329630, 9781467329637
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Abstract This paper presents an on-line reconfigurable four-ary tree-based network on chip for distributed particle filters. The proposed architecture model provides the capability of fast prototyping a large scale of particle filters system basing on the idea of reusability. Furthermore, it supports dynamic reconfiguration by regrouping PEs so as to reduce the overall traffic loads on communication infrastructure. After formulating the regrouping into number partitioning problem, we apply two heuristic algorithms which are Balanced Largest Differencing Method (BLDM) and Balanced Farthest Binding Method (BFBM) as reconfigure strategies. Finally, system level evaluation indicates that a huge decrease of traffic loads can be achieved with help of reconfigure feature.
AbstractList This paper presents an on-line reconfigurable four-ary tree-based network on chip for distributed particle filters. The proposed architecture model provides the capability of fast prototyping a large scale of particle filters system basing on the idea of reusability. Furthermore, it supports dynamic reconfiguration by regrouping PEs so as to reduce the overall traffic loads on communication infrastructure. After formulating the regrouping into number partitioning problem, we apply two heuristic algorithms which are Balanced Largest Differencing Method (BLDM) and Balanced Farthest Binding Method (BFBM) as reconfigure strategies. Finally, system level evaluation indicates that a huge decrease of traffic loads can be achieved with help of reconfigure feature.
Author Long, Yanchen
Huan, Ruohong
Pan, Yun
Yan, Xiaolang
Wang, Yimu
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  organization: College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, P.R. China
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Snippet This paper presents an on-line reconfigurable four-ary tree-based network on chip for distributed particle filters. The proposed architecture model provides...
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StartPage 2102
SubjectTerms Approximation algorithms
Clustering algorithms
Complexity theory
Computer architecture
Distributed Particle Filter
Heuristic algorithms
Network on Chip
Number Partitioning
on-line Reconfiguration
Particle filters
Partitioning algorithms
Switches
System-on-chip
Telecommunication traffic
Title An on-line reconfigurable four-ary tree-based network on chip for distributed particle filters
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