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 |
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| Main Authors: | , , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
01.12.2012
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| Subjects: | |
| ISBN: | 1467329630, 9781467329637 |
| Online Access: | Get full text |
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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. |
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| 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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| 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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| 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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