| 1 |
Data Parallel approach is really only useful for the simple O(N2) case and even here it is quite tricky to express algorithm so that it is
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both Space Efficient and
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Captures factor of 2 savings from Newton's law of action and reaction Fij = - Fji
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We have discussed these issues in a different foilset
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| 2 |
The shared memory approach is effective for a modest number of processors in both algorithms.
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It is only likely to scale properly for O(N2) case as the compiler will find it hard to capture clever ideas needed to make fast multipole efficient
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| 3 |
Message Parallel approach gives you very efficient algorithms in both O(N2) and O(NlogN)
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O(N2) case has very low communication
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O(NlogN) has quite low communication
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