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Parallel multigrid in an adaptive PDE solver based on hashing

DOI: 10.1016/s0927-5452(98)80075-0
  • Mathematics


Partial differential equations can be solved efficiently by adaptive multigrid methods on a parallel computer. We report on the concept of hash-table storage techniques to set up such a code. The code requires substantial less amount of memory and is easier to code in the sequential case. The parallelization takes place by a space filling curve domain decomposition intimately connected to the hash table. The new data structure simplifies the parallel version of the code substantially way and introduces a cheap way to solve the load balancing and mapping problem.

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