@InProceedings{ma:flexible,
  author = {Xiasong Ma and Xiangmin Jiao and Michael Campbell oand Marianne
  Winslett},
  title = {Flexible and Efficient Parallel {I/O} for Large-Scale
  Multi-component Simulations},
  booktitle = {Proceedings of the Fourth Workshop on Parallel and Distributed
  Scientific and Engineering Computing with Applications},
  year = {2003},
  month = {April},
  publisher = {IEEE Computer Society Press},
  URL = {http://drl.cs.uiuc.edu/pubs/pdseca.html},
  keywords = {parallel I/O, pario-bib},
  abstract = {In this paper, we discuss our experience of providing high
  performance parallel I/O for a large-scale, on-going, multi-disciplinary
  simulation project for solid propellant rockets. We describe the performance
  and data management issues observed in this project and present our
  solutions, including (1) support for relatively fine-grained distribution of
  irregular datasets in parallel I/O, (2) a flexible data management facility
  for inter-module communication, and (3) two schemes to overlap computation
  with I/O. Performance results obtained from the rocket simulation's
  development and production platforms show that our I/O optimizations can
  dramatically reduce the simulation's visible I/O cost, as well as the number
  of disk files, and significantly improve the overall performance. Meanwhile,
  our data management facility helps to provide simulation developers with
  simple user interfaces for parallel I/O.}
}