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In Hama BSP computing framework, the Partition function is used for obtaining scalability of a Bulk Synchronous Parallel processing, and determining how to distribute the slices of input data among BSP processors. Unlike Map/Reduce data processing model, many scientific algorithms based on Message-Passing Bulk Synchronous Parallel model often requires that a processor obtain “nearby or related” data from other processors in order to complete the computation. In this case, processors determine their communication partners, or neighbors using Partition functionyou can create your own Partition function for determining processor inter-communication and how to distribute the data.
Internally, Input data-partitioning works as following sequence:
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