Basic HTML version of Foils prepared 27 October 1997

Foil 34 Parallel Algorithm in Fast Multipole II

From Master Set of Foils for GEM Computational Science Presentation GEM WorkShop Santa Fe -- 24-25 October 97. by Geoffrey C. Fox


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
In astrophysics, also need to construct tree and rebalance load at essentially each time step
  • not needed in GEM
There is a straightforward parallel tree building algorithm
These methods outperform O(N2) when more than a few thousand particles (unless very inhomogeneous)



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