The idea behind most parallel coloring algorithms that do not require synchronization, is that a MIS (Maximum Independent Set) of vertices can be colored at the same time at each iteration, and then ...

The graph coloring problem involves finding a color for each node such that none of its neighbors have that same color. Practical applications of graph coloring include scheduling, register allocation ...

Graph coloring problem (GCP) has proven to be an NP hard problem, until now there is no way to solve it in polynomial time. In this paper, a novel parallel genetic algorithm is presented to solve the ...

In parallel computing, a valid graph coloring yields a lock-free processing of the colored tasks, data points, etc., without expensive synchronization mechanisms. However, coloring is not free and the ...

One of the simplest randomized algorithms for graph coloring is the greedy algorithm, which assigns colors to the nodes in a random order, using the smallest available color for each node.