@InProceedings{freitag:visualization,
  author = {Lori A. Freitag and Raymond M. Loy},
  title = {Adaptive, Multiresolution Visualization of Large Data Sets using a
  Distributed Memory Octree},
  booktitle = {Proceedings of SC99: High Performance Networking and Computing},
  year = {1999},
  month = {November},
  publisher = {ACM Press and IEEE Computer Society Press},
  address = {Portland, OR},
  URL = {http://www.sc99.org/proceedings/papers/loy.pdf},
  keywords = {interactive visualization, multi-resolution visualization,
  adaptive visualization, scientific application, parallel octrees, pario-bib},
  comment = {They describe a technique that combines heirarchical data
  reduction methods with parallel computing to allow "interactive exploration
  of large data sets while retaining full-resolution capabilities." They point
  out that visualization of large data sets requires a post-processing step to
  reduce the size, or sophisticated rendering algorithms that work with the
  full resolution. There method combines the two techniques.}
}