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Topics: network topology, routing methods, flow control, router microarchitecture, and performance analysis.
TagNoC is a hybrid routing approach which combines the source and distributed routing methods together.
At their advent, routing methods focused only on finding one optimal path between given endpoints.
Routing methods have a prominent role in taking advantage of the potential benefits offered by NoCs.
Therefore, designing reliable and efficient routing methods is of significant importance.
We focus on optimal (internal) layout design, storage assignment methods, routing methods, order batching and zoning.
Quality of Service (QoS) routing methods are expected to replace existing intradomain routing protocols in future QoS-based data networks.
Hydrological flow routing methods are widely used as components of distributed hydrological models and in operational flow forecasting systems.
It significantly outperforms state-of-the-art routing methods, and its implementation in Boston has led to $5 million in yearly savings, maintaining service quality for students despite a 50-bus fleet reduction.
The simulation results illustrate that TagNoC outperforms as compared to baseline distributed architecture and other source routing methods in terms of power, latency, and throughput.
Of various flood routing methods, the dynamic wave model is one of the best approaches for the prediction of the characteristics of floods during their propagations in natural rivers because all of the terms of the momentum equation are considered in the model.
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