Python framework — dispy : (distributed and parallel computing with Python)

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need to know the data distribution strategy of Dispy : (Distributed and Parallel Computing with Python) !

anyone having any idea of Theoretically proven work, that how does this framework distributes a large data set over multiple GRID nodes ?

because certain data elements are inter-connected / having dependencies over other attributes etc how Dispy distributes them and reconciles the results that are received from multiple nodes ?

what is the fragmentation strategy that it has for Big Data Distribution over multiple nodes ?

What I have tried:

Need structural executional details