Graph_colouring.py contains python implementation of above algorithms defined in different functions : greedy (g,n) : takes undirected graph adjacency matrix and number of nodes in the graph as inputs ...

The graph colouring problem, a classic NP-hard challenge, is central to many practical applications such as scheduling, resource allocation and network management. Recent advances have seen the ...

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The first algorithm, counting-based Iones-Plassmann (CJP), uses counters to implement the classic Jones-Plassmann parallel coloring heuristic in a work-efficient manner. The second algorithm, conflict ...

Graph coloring is often used in parallelizing scientific computations that run in distributed and multi-GPU environments; it identifies sets of independent data that can be updated in parallel. Many ...

Combined with algorithms that can handle such graphs it’s a great way to not only make the basic structure of a network clear, but also to model structures and systems.

Seth Pettie and Hsin-Hao Su. Distributed Coloring Algorithms for Triangle-Free Graphs. Information and Computation 243:263-280, 2015. A preliminary version appeared in Proceedings of 40th Int’l Colloq ...