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Graph coloring has been broadly used to discover concurrency in parallel computing. To speed up graph coloring for large‐scale datasets, parallel algorithms have been proposed to leverage modern GPUs. Existing GPU implementations either have limited performance or yield unsatisfactory coloring quality (too many colors assigned). We present a work‐efficient parallel graph coloring implementation on...
Graph coloring has been broadly used to discover concurrency in parallel computing, where vertices with the same color represent subtasks that can be processed simultaneously. To speedup graph coloring for large scaledatasets, parallel algorithms have been proposed to leverage the massive hardware resources on modern multicore CPUs or GPGPUs. Existing GPU implementations either have limited performance...
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