@Article{latham:mpi-io-scalability,
  author = {Rob Latham and Rob Ross and Rajeev Thakur},
  title = {The impact of file systems on {MPI-IO} scalability},
  journal = {Lecture Notes in Computer Science},
  booktitle = {11th European Parallel Virtural Machine and Message Passing
  Interface Users Group Meeting; September 19-22, 2004; Budapest, HUNGARY},
  editor = {Kranzlmuller, D; Kacsuk, P; Dongarra, J},
  year = {2004},
  month = {November},
  volume = {3241},
  pages = {87--96},
  institution = {Argonne Natl Lab, 9700 S Cass Ave, Argonne, IL 60439 USA;
  Argonne Natl Lab, Argonne, IL 60439 USA},
  publisher = {Springer-Verlag Heidelberg},
  copyright = {(c)2004 Institute for Scientific Information, Inc.},
  URL = {http://www.springerlink.com/link.asp?id=m31px2lt90296b62},
  keywords = {scalability analysis, MPI-IO, pario-bib},
  abstract = {As the number of nodes in cluster systems continues to grow,
  leveraging scalable algorithms in all aspects of such systems becomes key to
  maintaining performance. While scalable algorithms have been applied
  successfully in some areas of parallel I/O, many operations are still
  performed in an uncoordinated manner. In this work we consider, in three file
  system scenarios, the possibilities for applying scalable algorithms to the
  many operations that make up the MPI-IO interface. From this evaluation we
  extract a set of file system characteristics that aid in developing scalable
  MPI-IO implementations.}
}