DocumentCode :
125527
Title :
Selective Extension of Routing Algorithms Based on Turn Model
Author :
Yongqing Wang ; Liquan Xiao ; Sheng Ma ; Zhengbin Pang ; Kefei Wang
Author_Institution :
Coll. of Comput., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2014
fDate :
12-14 Feb. 2014
Firstpage :
174
Lastpage :
177
Abstract :
Turn-model is a classical method for designing partially adaptive routing algorithms without virtual channels, and can also be the basis of fully adaptive routing algorithms. We propose a novel scheme, Selective Extension of Routing Algorithms based on turn model (SERA), which alleviates restrictions on turn and path selections if possible without adding any new buffers or virtual channels. SERA can improve adaptivity of the original routing algorithms, and maintain the deadlock-free property. Thus, SERA is an important extension of the previous turn model theory. To present the effectiveness of SERA in adaptive algorithms, we redesign two existing routing algorithms, Odd-Even and LEAR. Simulation results show that the SERA scheme achieves an average delay reduction of 6% compared to the original routing algorithms.
Keywords :
network routing; network-on-chip; LEAR routing algorithms; NoCs; SERA scheme; average delay reduction; deadlock-free property; networks-on-chip; odd-even routing algorithms; path selections; selective extension of routing algorithms based on turn model; Adaptation models; Adaptive systems; Algorithm design and analysis; Computational modeling; Routing; Switches; System recovery; adaptive routing; interconnection network; networks-on-chip; turn model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel, Distributed and Network-Based Processing (PDP), 2014 22nd Euromicro International Conference on
Conference_Location :
Torino
ISSN :
1066-6192
Type :
conf
DOI :
10.1109/PDP.2014.90
Filename :
6787269
Link To Document :
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