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Expose opportunities for parallel execution; determine a fine-grained decomposition of the problem.
Focus of partitioning may be on
Partition data and then work out how to associate computation with data.
Partition computation into tasks and then associate data to tasks.
Complementary approaches; they may be applied to different parts of a problem and/or yield alternative algorithms for the same problem.