@InProceedings{brezany:HPF2,
  author = {Peter Brezany and Jonghyun Lee and Marianne Winslett},
  title = {Parallel {I/O} Support for HPF on Computational Grids},
  booktitle = {Proceedings of the Fourth International Symposium on High
  Performance Computing},
  year = {2002},
  month = {May},
  series = {Lecture Notes in Computer Science},
  volume = {2327},
  pages = {539--550},
  publisher = {Springer-Verlag},
  URL =
  {http://link.springer.de/link/service/series/0558/bibs/2327/23270539.htm},
  keywords = {parallel I/O, Fortran, HPF, data-parallel, computational grid,
  pario-bib},
  abstract = {Recently several projects have started to implement large-scale
  high-performance computing on "computational grids" composed of heterogeneous
  and geographically distributed systems of computers, networks, and storage
  devices that collectively act as a single "virtual supercomuter". One of the
  great challenges for this environment is to provide appropriate high-level
  programming models. High Performance Fortran (HPF) is a language of choice
  for development of data parallel components of Grid applications. Another
  challenge is to provide efficient access to data that is distributed across
  local and remote Grid resources. In this paper, constructs to specify
  parallel input and output (I/O) operations on multidimensional arrays on the
  Grid in the context of HPF are proposed. The paper also presents
  implementation concepts that are based on the HPF compiler VFC, the parallel
  I/O runtime system Panda, Internet, and Grid technologies. Preliminary
  experimental performance results are discussed in the context of a real
  application example.}
}