Research Group of Prof. Dr. M. Griebel
Institute for Numerical Simulation
maximize


@inproceedings{Griebel.Zumbusch:1998*1,
  author = {M. Griebel and G. W. Zumbusch},
  title = {Parallel multigrid in an adaptive {PDE} solver based on
		  hashing},
  booktitle = {Parallel Computing: Fundamentals, Applications and New
		  Directions},
  pages = {589--600},
  editor = {E. D'Hollander and G.R. Joubert and F.J. Peters and U.
		  Trottenberg},
  publisher = {Elsevier},
  series = {Advances in Parallel Computing},
  number = {12},
  address = {Amsterdam, The Netherlands},
  year = {1998},
  note = {Proceedings of ParCo 97, Bonn, Germany},
  ps = {http://wissrech.ins.uni-bonn.de/research/pub/zumbusch/parco97.ps.gz 1},
  pdf = {http://wissrech.ins.uni-bonn.de/research/pub/zumbusch/parco97.pdf 1},
  annote = {refereed series,parallel,256C},
  abstract = {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.}
}