Abstract
Graph coloring is an abstraction of scheduling problems. Using an exclusive-read and exclusive-write (EREW) parallel random access machine (PRAM) model, two approximate coloring algorithms are parallelized. The performance analysis reveals that the parallel largest-degree-first algorithm is efficient for regular or near-regular graphs; while the second, a costlier but more easily parallelizable algorithm, yields optimal speedup for graphs of widely varying densities.