scholarly journals Self-optimized Routing in a Network on-a-Chip

Author(s):  
Wolfgang Trumler ◽  
Sebastian Schlingmann ◽  
Theo Ungerer ◽  
Jun Ho Bahn ◽  
Nader Bagherzadeh
Keyword(s):  
Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1076 ◽  
Author(s):  
Zulqar Nain ◽  
Rashid Ali ◽  
Sheraz Anjum ◽  
Muhammad Khalil Afzal ◽  
Sung Won Kim

Scalability is a significant issue in system-on-a-chip architectures because of the rapid increase in numerous on-chip resources. Moreover, hybrid processing elements demand diverse communication requirements, which system-on-a-chip architectures are unable to handle gracefully. Network-on-a-chip architectures have been proposed to address the scalability, contention, reusability, and congestion-related problems of current system-on-a-chip architectures. The reliability appears to be a challenging aspect of network-on-a-chip architectures because of the physical faults introduced in post-manufacturing processes. Therefore, to overcome such failures in network-on-a-chip architectures, fault-tolerant routing is critical. In this article, a network adaptive fault-tolerant routing algorithm is proposed, where the proposed algorithm enhances an efficient dynamic and adaptive routing algorithm. The proposed algorithm avoids livelocks because of its ability to select an alternate outport. It also manages to bypass congested regions of the network and balances the traffic load between outports that have an equal number of hop counts to its destination. Simulation results verified that in a fault-free scenario, the proposed solution outperformed a fault-tolerant XY by achieving a lower latency. At the same time, it attained a higher flit delivery ratio compared to the efficient dynamic and adaptive routing algorithm. Meanwhile, in the situation of a faulty network, the proposed algorithm could reach a higher flit delivery ratio of up to 18% while still consuming less power compared to the efficient dynamic and adaptive routing algorithm.


2017 ◽  
Vol 74 (9) ◽  
pp. 4470-4480 ◽  
Author(s):  
Jia-Yang Lin ◽  
Yi-Ting Hsieh ◽  
Trong Nghia Le ◽  
Wen-Long Chin

Cell Reports ◽  
2018 ◽  
Vol 22 (1) ◽  
pp. 110-122 ◽  
Author(s):  
Amandine Virlogeux ◽  
Eve Moutaux ◽  
Wilhelm Christaller ◽  
Aurélie Genoux ◽  
Julie Bruyère ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Mohammad Trik ◽  
Saadat Pour Mozaffari ◽  
Amir Massoud Bidgoli

Effective and efficient routing is one of the most important parts of routing in NoC-based neuromorphic systems. In fact, this communication structure connects different units through the packets routed by routers and switches embedded in the network on a chip. With the help of this capability, not only high scalability and high development can be created, but by decreasing the global wiring to the chip level, power consumption can be reduced. In this paper, an adaptive routing algorithm for NoC-based neuromorphic systems is proposed along with a hybrid selection strategy. Accordingly, a traffic analyzer is first used to determine the type of local or nonlocal traffic depending on the number of hops. Then, considering the type of traffic, the RCA and NoP selection strategies are used for the nonlocal and local strategies, respectively. Finally, using the experiments that performed in the simulator environment, it has been shown that this solution can well reduce the average delay time and power consumption.


2017 ◽  
Vol 11 ◽  
pp. 11-23 ◽  
Author(s):  
Akram Reza ◽  
Reza Faghih Mirzaee

Author(s):  
Ayman A. Salem ◽  
Mohamed A. Abd El Ghany ◽  
Klaus Hofmann
Keyword(s):  

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