DocumentCode :
1332410
Title :
An Oblivious Routing Algorithm for 3D Mesh Networks to Achieve a New Worst-Case Throughput Bound
Author :
Sun, Guang ; Chang, Chia-Wei ; Lin, Bill ; Zeng, Lieguang
Author_Institution :
Tsinghua Univ., Beijing, China
Volume :
4
Issue :
4
fYear :
2012
Firstpage :
98
Lastpage :
101
Abstract :
1/2 network capacity is often believed to be the limit of worst-case throughput for three-dimension (3D) mesh networks. However, this paper provides a new worst-case throughput bound, which is higher than 1/2 network capacity, for odd radix 3D mesh networks. In addition, we propose a routing algorithm called uniform solo-minimal (USM) routing that can achieve this new worst-case throughput bound in odd radix mesh networks. For the even radix case, we prove that USM achieves the optimal worst-case throughput, namely, half of network capacity. USM considers all routing paths with at most one dimensional minimal-distance routing and distributes the traffic loads uniformly to other two left dimensions. Theoretical analysis and simulation results show that USM outperforms existing routing algorithms in worst-case throughput. Moreover, USM achieves good average-throughput and performs very well under different traffic matrices at the expense of (5/3)× minimal average hop count.
Keywords :
digital arithmetic; matrix algebra; network routing; network topology; network-on-chip; 1/2 network capacity; 1D minimal-distance routing; even radix case; hop count; mesh topology; network-on-chip; oblivious routing algorithm; odd radix 3D mesh network; routing path; traffic load distribution; traffic matrix; uniform solo-minimal routing; worst-case throughput bound; Algorithm design and analysis; Mesh networks; Network-on-a-chip; Routing; Throughput; (3D) mesh; Average-case throughput; networks-on-chip (NoC); routing; worst-case throughput;
fLanguage :
English
Journal_Title :
Embedded Systems Letters, IEEE
Publisher :
ieee
ISSN :
1943-0663
Type :
jour
DOI :
10.1109/LES.2012.2227138
Filename :
6352835
Link To Document :
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