@InProceedings{brezany:technology,
  author = {Peter Brezany and Marianne Winslett and Denis A. Nicole and Toni
  Cortes},
  title = {Parallel {I/O} and Storage Technology},
  booktitle = {Proceedings of the Seventh International Euro-Par Conference},
  year = {2001},
  month = {August},
  series = {Lecture Notes in Computer Science},
  volume = {2150},
  pages = {887--888},
  publisher = {Springer-Verlag},
  address = {Manchester, UK},
  URL =
  {http://link.springer.de/link/service/series/0558/bibs/2150/21500887.htm},
  keywords = {pario-bib, parallel I/O},
  abstract = {Input and output (I/O) is a major performance bottleneck for
  large-scale scientific applications running on parallel platforms. For
  example, it is not uncommon that performance of carefully tuned parallel
  programs can slow dramatically when they read or write files. This is because
  many parallel applications need to access large amounts of data, and although
  great advances have been made in the CPU and communication performance of
  parallel machines, similar advances have not been made in their I/O
  performance. The densities and capacities of disks have increased
  significantly, but improvement in performance of individual disks has not
  followed the same pace. For parallel computers to be truly usable for solving
  real, large-scale problems, the I/O performance must be scalable and balanced
  with respect to the CPU and communication performance of the system. Parallel
  I/O techniques can help to solve this problem by creating multiple data paths
  between memory and disks. However, simply adding disk drives to an I/O system
  without considering the overall software design will improve performance only
  marginally.}
}