将3-Ary - n-立方体嵌入某些圆柱体和树的精确波长

IF 0.4 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Fundamenta Informaticae Pub Date : 2023-06-19 DOI:10.3233/fi-222149
S. Rajeshwari, M. Rajesh
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引用次数: 0

摘要

图嵌入在并行算法的设计和分析中起着重要的作用。它是客图G的拓扑结构到主图H的映射,表示为客图顶点集到主图顶点集的一对一映射。在多处理系统中,互连网络提高了系统中各部件之间的有效通信。在嵌入问题中获取最小的无线长度对于网络设计和用一种体系结构模拟另一种体系结构具有重要意义。在本文中,我们确定了3元n-立方体嵌入柱体和某些树的波长。
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Exact Wirelength of Embedding 3-Ary n-Cubes into Certain Cylinders and Trees
Graph embeddings play a significant role in the design and analysis of parallel algorithms. It is a mapping of the topological structure of a guest graph G into a host graph H, which is represented as a one-to-one mapping from the vertex set of the guest graph to the vertex set of the host graph. In multiprocessing systems, the interconnection networks enhance the efficient communication between the components in the system. Obtaining minimum wirelength in embedding problems is significant in the designing of networks and simulating one architecture by another. In this paper, we determine the wirelength of embedding 3-ary n-cubes into cylinders and certain trees.
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来源期刊
Fundamenta Informaticae
Fundamenta Informaticae 工程技术-计算机:软件工程
CiteScore
2.00
自引率
0.00%
发文量
61
审稿时长
9.8 months
期刊介绍: Fundamenta Informaticae is an international journal publishing original research results in all areas of theoretical computer science. Papers are encouraged contributing: solutions by mathematical methods of problems emerging in computer science solutions of mathematical problems inspired by computer science. Topics of interest include (but are not restricted to): theory of computing, complexity theory, algorithms and data structures, computational aspects of combinatorics and graph theory, programming language theory, theoretical aspects of programming languages, computer-aided verification, computer science logic, database theory, logic programming, automated deduction, formal languages and automata theory, concurrency and distributed computing, cryptography and security, theoretical issues in artificial intelligence, machine learning, pattern recognition, algorithmic game theory, bioinformatics and computational biology, quantum computing, probabilistic methods, algebraic and categorical methods.
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