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Graphs and their traversal is becoming significant as it is applicable tovarious areas of mathematics, science and technology. Various problems infields as varied as biochemistry (genomics), electrical engineering(communication networks), computer science (algorithms and computation) can bemodeled as Graph problems. Real world scenarios including communities theirinterconnections and related properties can be studied using graphs. So fast,scalable, low-cost execution of parallel graph algorithms is very important. Inthis implementation of parallel breadth first search of graphs, we implementedParallel BFS algorithm with 1-D partitioning of graph as described in [2] andhave reduced execution time by optimizing communication for local buffers.

Optimizations to the Parallel Breath First Search on Distributed Memory