DocumentCode
720588
Title
Hamiltonian Path Strategy for Deadlock-Free and Adaptive Routing in Diametrical 2D Mesh NoCs
Author
Bahrebar, Poona ; Stroobandt, Dirk
Author_Institution
Dept. of Electron. & Inf. Syst. (ELIS), Ghent Univ., Ghent, Belgium
fYear
2015
fDate
4-7 May 2015
Firstpage
1209
Lastpage
1212
Abstract
The overall performance of Network-on-Chip (NoC) is strongly affected by the efficiency of the on-chip routing algorithm. Among the factors associated with the design of a high-performance routing method, adaptivity is an important one. Moreover, deadlock-and live lock-freedom are necessary for a functional routing method. Despite the advantages that the diametrical mesh can bring to NoCs compared with the classical mesh topology, the literature records little research efforts to design pertinent routing methods for such networks. Using the available routing algorithms, the network performance degrades drastically not only due to the deterministic paths, but also to the deadlocks created between the packets. In this paper, we take advantage of the Hamiltonian routing strategy to adaptively route the packets through deadlock-free paths in a diametrical 2D mesh network. The simulation results demonstrate the efficiency of the proposed approach in decreasing the likelihood of congestion and smoothly distributing the traffic across the network.
Keywords
network routing; network-on-chip; Hamiltonian path strategy; adaptive routing; classical mesh topology; deadlock-free routing; diametrical 2D mesh NoCs; functional routing method; high-performance routing method; live lock-freedom; network performance degradation; network-on-chip; on-chip routing algorithm; Adaptive systems; Network topology; Power demand; Routing; System recovery; System-on-chip; Topology; Hamiltonian strategy; Network-on-Chip (NoC); adaptive routing; deadlock; diametrical 2D mesh topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
Conference_Location
Shenzhen
Type
conf
DOI
10.1109/CCGrid.2015.112
Filename
7152623
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