{"title":"A Scalable Approach to Codesign of Topologies\nand Routing Algorithms for Families of Optimal\nDegree-Four Circulant Networks","authors":"O. G. Monakhov, E. A. Monakhova","doi":"10.1134/S1990478925020085","DOIUrl":null,"url":null,"abstract":"<p> This paper presents a new approach to the joint construction of topologies of\ndiameter-optimal circulant networks\n<span>\\( C(N; \\pm 1, \\pm s_2) \\)</span> and optimal routing algorithms of complexity\n<span>\\( O(1) \\)</span> implemented for them. New routing algorithms are based on the use of\nscalable parameters of\n<span>\\( L \\)</span>-shaped patterns in a dense packing of graphs on the plane for families of\noptimal networks. The scalability of the parameters of\n<span>\\( L \\)</span>-shaped templates for many families of optimal networks\n<span>\\( C(N; \\pm 1, \\pm s_2) \\)</span> has been proven, analytical formulas for the dependence of these parameters\non the diameter of the graphs have been obtained, reducing the time for setting up the routing\nalgorithm at the preliminary stage from\n<span>\\( O (\\log N) \\)</span> to\n<span>\\( O(1) \\)</span>. A comparison of the new routing algorithm with the optimal routing\nalgorithm known in the literature showed its greater efficiency by an average of 10 percent in\nterms of time spent on routing in families of optimal graphs. Due to their good scalability and\nease of routing, optimal degree-four circulant networks are of interest as efficient and reliable\ncommunication networks for networks-on-chip, multiprocessor supercomputer systems,\ntelecommunications network structures, and neural communication networks.\n</p>","PeriodicalId":607,"journal":{"name":"Journal of Applied and Industrial Mathematics","volume":"19 2","pages":"291 - 301"},"PeriodicalIF":0.5800,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied and Industrial Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1134/S1990478925020085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a new approach to the joint construction of topologies of
diameter-optimal circulant networks
\( C(N; \pm 1, \pm s_2) \) and optimal routing algorithms of complexity
\( O(1) \) implemented for them. New routing algorithms are based on the use of
scalable parameters of
\( L \)-shaped patterns in a dense packing of graphs on the plane for families of
optimal networks. The scalability of the parameters of
\( L \)-shaped templates for many families of optimal networks
\( C(N; \pm 1, \pm s_2) \) has been proven, analytical formulas for the dependence of these parameters
on the diameter of the graphs have been obtained, reducing the time for setting up the routing
algorithm at the preliminary stage from
\( O (\log N) \) to
\( O(1) \). A comparison of the new routing algorithm with the optimal routing
algorithm known in the literature showed its greater efficiency by an average of 10 percent in
terms of time spent on routing in families of optimal graphs. Due to their good scalability and
ease of routing, optimal degree-four circulant networks are of interest as efficient and reliable
communication networks for networks-on-chip, multiprocessor supercomputer systems,
telecommunications network structures, and neural communication networks.
期刊介绍:
Journal of Applied and Industrial Mathematics is a journal that publishes original and review articles containing theoretical results and those of interest for applications in various branches of industry. The journal topics include the qualitative theory of differential equations in application to mechanics, physics, chemistry, biology, technical and natural processes; mathematical modeling in mechanics, physics, engineering, chemistry, biology, ecology, medicine, etc.; control theory; discrete optimization; discrete structures and extremum problems; combinatorics; control and reliability of discrete circuits; mathematical programming; mathematical models and methods for making optimal decisions; models of theory of scheduling, location and replacement of equipment; modeling the control processes; development and analysis of algorithms; synthesis and complexity of control systems; automata theory; graph theory; game theory and its applications; coding theory; scheduling theory; and theory of circuits.