@InProceedings{torrellas:PnetCDF,
  author = {Jianwei Li and Wei-keng Liao and Alok Choudhary and Robert Ross and
  Rajeev Thakur and William Gropp and Rob Latham and Andrew Siegel and Brad
  Gallagher and Michael Zingale},
  title = {Parallel {netCDF}: A High-Performance Scientific {I/O} Interface},
  booktitle = {Proceedings of SC2003: High Performance Networking and
  Computing},
  year = {2003},
  month = {November},
  publisher = {IEEE Computer Society Press},
  address = {Phoenix, AZ},
  URL = {http://www.sc-conference.org/sc2003/paperpdfs/pap258.pdf},
  keywords = {parallel I/O interface, netCDF, MPI-IO, pario-bib},
  abstract = {Dataset storage, exchange, and access play a critical role in
  scientific applications. For such purposes netCDF serves as a portable,
  efficient file format and programming interface, which is popular in numerous
  scientific application domains. However, the original interface does not
  provide an efficient mechanism for parallel data storage and access. \par In
  this work, we present a new parallel interface for writing and reading netCDF
  datasets. This interface is derived with minimal changes from the serial
  netCDF interface but defines semantics for parallel access and is tailored
  for high performance. The underlying parallel I/O is achieved through MPI-IO,
  allowing for substantial performance gains through the use of collective I/O
  optimizations. We compare the implementation strategies and performance with
  HDF5. Our tests indicate programming convenience and significant I/O
  performance improvement with this parallel netCDF (PnetCDF) interface.},
  comment = {published on the web only}
}