@InProceedings{kuo:efficient,
  author = {S. Kuo and M. Winslett and Y. Cho and J. Lee and Y. Chen},
  title = {Efficient Input and Output for Scientific Simulations},
  booktitle = {Proceedings of the Sixth Workshop on Input/Output in Parallel
  and Distributed Systems},
  year = {1999},
  month = {May},
  pages = {33--44},
  publisher = {ACM Press},
  address = {Atlanta, GA},
  URL = {http://vibes.cs.uiuc.edu/IOPADS/Accepted/Kuo.ps},
  keywords = {scientific computing, simulation, parallel I/O, pario-bib},
  abstract = {Large simulations which run for hundreds of hours on parallel
  computers often periodically generate snapshots of states, which are later
  post-processed to visualize the simulated physical phenomenon. For many
  applications, fast I/O during post-processing, which is dependent on an
  efficient organization of data on disk, is as important as minimizing
  computation-time I/O. In this paper we propose optimizations to support
  efficient parallel I/O for scientific simulations and subsequent
  visualizations. We present an ordering mechanism to linearize data on disk, a
  performance model to help to choose a proper stripe unit size, and a
  scheduling algorithm to minimize communication contention. Our experiments on
  an IBM SP show that the combination of these strategies provides a 20-25\%
  performance boost.}
}