Basic HTML version of Foils prepared Oct 26,97

Foil 33 Parallel Algorithm in Fast Multipole II

From Master Set of Foils for GEM Computational Science Presentation GEM Workshop Santa Fe -- October 24-25 1997. by Geoffrey C. Fox


1 Having fetched all needed data, can update all particles in processors with high efficiency seen in O(N2) problem.
  • Namely communicated data is re-used many times as needed by many particles in processor
  • In practice have some 10,000 or more particles per processor
2 In astrophysics, also need to construct tree and rebalance load at essentially each time step
  • not needed in GEM
3 There is a straightforward parallel tree building algorithm
4 These methods outperform O(N2) when more than a few thousand particles (unless very inhomogeneous)

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