双交换网络的处理器之间的平均距离
S Prabhu1, M Anitha2, N Harish Vidyarth3
1Department of Mathematics, Rajalakshmi Engineering College, Chennai, 602105, India.
Scientific reports
|December 2, 2025
概括
互换网络通过系统边缘修改来增强节点连接和性能. 本研究分析了它们的传输值和平均距离,揭示了强大和高效的网络设计的潜力.
科学领域:
- 图形理论是指图形的理论.
- 网络科学 网络科学
- 计算机科学 计算机科学
背景情况:
- 互换网络提供高效的节点互连使用转换类操作.
- 它们增强了结构对称性,有助于提高故障耐受性和能源效率.
- 互换网络是强大的网络设计的一个有希望的模型.
研究的目的:
- 调查节点传输值作为双交换网络中通信成本指标.
- 计算新的基于距离的描述符,维纳指数.
- 分析从各种基础图形中获得的双交换网络中节点之间的平均距离.
主要方法:
- 在基准图中系统地进行两边交换.
- 计算节点传输值的计算.
- 计算维纳指数和平均距离的计算.
主要成果:
- 从各种基础图表分析了双交换网络的传输值.
- 维纳指数是使用节点传输值计算的.
- 研究了节点之间的平均距离.
结论:
- 互换网络显示了提高网络稳定性和效率的潜力.
- 该研究提供了对这些网络内的通信成本和距离指标的见解.
- 对双交换网络的进一步分析可以为未来的网络设计提供信息.
相关概念视频
The Distance Formula
535
In geometry, measuring the direct distance between two points on a plane is essential in various practical and theoretical applications. Whether in navigation, engineering, or computer graphics, determining the shortest path between two locations involves using the distance formula. This formula is derived from the Pythagorean Theorem, which relates the lengths of the sides of a right triangle. On a coordinate plane, the horizontal and vertical distances between two points serve as the legs of...
535
Protein Networks
4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Protein Networks
2.8K
2.8K
Network Covalent Solids
16.0K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.0K
Interpreting ¹H NMR Signal Splitting: The (n + 1) Rule
2.4K
In the AX proton spin system, proton A can sense the two spin states of a coupled proton X, resulting in a doublet NMR signal with two peaks of equal (1:1) intensity. When proton A is coupled to two equivalent protons (AX2 spin system), the spin states of each X can be aligned with or against the external field, creating three possible scenarios. This results in a 1:2:1 triplet signal, where the central peak corresponds to the chemical shift of A and is twice as large or intense as the...
2.4K
Protein-protein Interfaces
14.4K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
14.4K


