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Parallel Algorithm Development

I am trying to figure out what is the best practice when developing a parallel algorithm for a data distribution model. What could be the pros and cons of block allocation versus cyclic distribution of data in memory. Any help would be greatly appreciated.

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Quinn's "Parallel Programming in C with MPI and OpenMP" offers many examples of different ways to distribute data in parallel programming. There's even a decision tree that helps you understand which approach is most convenient, depending on your needs.

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Source: https://habr.com/ru/post/1711412/

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