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‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Routing Algorithms in Optimal Degree Four Circulant Networks Based on Relative Addressing: Comparative Analysis for Networks-on-Chip

IEEE Transactions on Network Science and Engineering. 2023. Vol. 10. No. 1. P. 413–425.
Monakhova E. A., Monakhov O. G., Romanov A.

The solution of the problem of organizing optimal communications in circulant networks of degree four is considered. For a family of optimal circulant networks with the minimum diameter and average distance for any number of nodes in a graph, we propose an optimal pair routing algorithm of constant complexity based on using the relative addressing of nodes in a network. The new algorithm is an analytical extension to any number of nodes in the network of the routing method proposed for dense Gaussian networks, and it does not use division operations, which are very expensive to implement in fixed-point format. This extension is based on the proposed scheme of transformations on the plane of geometrical patterns of optimal circulant networks. The developed routing algorithm is the basis for generating the series of routing algorithms for different subfamilies of the optimal two-dimensional circulants. The general routing algorithm and its modification for a separate subclass of circulants are implemented in the HDL NoC model with circulant topology. All the algorithm parameters important for networks-on-chip, including the consumption of memory, logical resources, and execution time are comprehensively investigated. The results of a comparative analysis of the new algorithms with other routing algorithms, previously implemented in the networks-on-chip, are presented.

Research target: Electronics and Electrical Engineering Computer Science
Language: English
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Keywords: routingnetwork-on-chipcirculant topology
Publication based on the results of:
Automation of networks-on-chip modeling (2023)
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