A Scalable Approach to Codesign of Topologies and Routing Algorithms for Families of Optimal Degree-Four Circulant Networks

IF 0.58 Q3 Engineering
O. G. Monakhov, E. A. Monakhova
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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.

最优四度循环网络族拓扑和路由算法协同设计的可扩展方法
本文提出了一种联合构造直径最优循环网络拓扑\( C(N; \pm 1, \pm s_2) \)和为其实现复杂度为\( O(1) \)的最优路由算法的新方法。新的路由算法基于在平面上最优网络族的密集图包装中使用\( L \)形状模式的可扩展参数。证明了许多最优网络族\( C(N; \pm 1, \pm s_2) \)的\( L \)形模板参数的可扩展性,得到了这些参数与图的直径的依赖关系的解析公式,减少了从\( O (\log N) \)到\( O(1) \)的初始阶段路由算法的建立时间。新的路由算法与文献中已知的最优路由算法的比较表明,在最优图族中,它的效率平均提高了10%。由于其良好的可扩展性和路由便性,最优四度循环网络作为片上网络、多处理器超级计算机系统、电信网络结构和神经通信网络的高效可靠的通信网络而受到关注。
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来源期刊
Journal of Applied and Industrial Mathematics
Journal of Applied and Industrial Mathematics Engineering-Industrial and Manufacturing Engineering
CiteScore
1.00
自引率
0.00%
发文量
16
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.
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