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On Bipartite Circulant Graph Decompositions Based on Cartesian and Tensor Products with Novel Topologies and Deadlock-Free Routing

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Distributed Loop Computer-Networks: A Survey
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Hamiltonian Decomposition of Recursive Circulants
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Graph Theoretical Approaches to Chemical Reactivity
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All-to-All Optical Routing in Chordal Rings of Degree 4
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SCCN: A Time-Effective Hierarchical Interconnection Network for Network-On-Chip
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Optimal circulant graphs as low-latency network topologies
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Research problems
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Hamiltonian decomposition of Cayley graphs of degree 4
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A survey of multi-connected loop topologies for local computer networks
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On the decomposition of circulant graphs using algorithmic approaches
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On infinite circulant-balanced complete multipartite graphs decompositions based on generalized algorithmic approaches
inferredcites →https://doi.org/10.1016/j.heliyon.2019.e01516openalex-snapshot
Development of routing algorithms in networks-on-chip based on ring circulant topologies
inferredcites →https://doi.org/10.1016/j.ipl.2009.05.011openalex-snapshot
Lucky labelings of graphs
inferredcites →https://doi.org/10.1016/j.physa.2006.04.047openalex-snapshot
Bipartite graphs as models of complex networks
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NoC routing protocols – objective-based classification
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Counting symmetric configurations v3
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Decomposing Complete Graphs Into Cycles of Length 2P
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A complementary survey on double-loop networks
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Accelerating ML Recommendation with over a Thousand RISC-V/Tensor Processors on Esperanto’s ET-SoC-1 Chip
inferredcites →https://doi.org/10.1109/icieam54945.2022.9787143openalex-snapshot
The New Promising Network-on-Chip Topologies Development Using Hierarchical Method
inferredcites →https://doi.org/10.1109/proc.1972.8647openalex-snapshot
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inferredcites →https://doi.org/10.1109/rusautocon52004.2021.9537317openalex-snapshot
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Fast Stencil-Code Computation on a Wafer-Scale Processor
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Analysis and Design of Reliable Computer Networks
inferredcites →https://doi.org/10.1109/tnse.2022.3211985openalex-snapshot
Routing Algorithms in Optimal Degree Four Circulant Networks Based on Relative Addressing: Comparative Analysis for Networks-on-Chip
inferredcites →https://doi.org/10.1109/tvlsi.2019.2959618openalex-snapshot
Formal Modeling of Network-on-Chip Using CFSM and its Application in Detecting Deadlock
inferredcites →https://doi.org/10.1186/1756-0381-4-10openalex-snapshot
Using graph theory to analyze biological networks
inferredcites →https://doi.org/10.1515/chem-2019-0007openalex-snapshot
Zagreb Connection Number Index of Nanotubes and Regular Hexagonal Lattice
inferredcites →https://doi.org/10.1515/math-2020-0003openalex-snapshot
On applications of bipartite graph associated with algebraic structures
inferredcites →https://doi.org/10.15244/pjoes/75961openalex-snapshot
Role of Graph Theory to Facilitate Landscape Connectivity: Subdivision of a Harary Graph
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Molecular descriptors of benzenoid systems
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Topological Characterization of Carbon Graphite and Crystal Cubic Carbon Structures
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4837079openalex-extracted
The Independent Set Problem on Circulant Graphs Cn(A,B)
inferred← citeshttps://doi.org/10.1016/j.dam.2026.02.005openalex-snapshot
The Maximum Independent Set problem on circulant graphs C n ( a , b )
inferred← citeshttps://doi.org/10.1155/2024/9131329openalex-snapshot
Explicit Formulas for the Complexity of Networks Produced by New Duplicating Corona and Cartesian Product
inferred← citeshttps://doi.org/10.3390/a16070320openalex-snapshot
On Orthogonal Double Covers and Decompositions of Complete Bipartite Graphs by Caterpillar Graphs
inferred← citeshttps://doi.org/10.3390/appliedmath5020032openalex-snapshot
Failed Skew Zero Forcing Numbers of Path Powers and Circulant Graphs
inferred← citeshttps://doi.org/10.3390/fi15050183openalex-snapshot
Distributed Average Consensus Algorithms in d-Regular Bipartite Graphs: Comparative Study
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