@InProceedings{klaskey:data-streaming,
  author = {Scott Alan Klasky and Stephane Ethier and Zhihong Lin and Kevin
  Martins and Doug McCune and Ravi Samtaney},
  title = {Grid-Based Parallel Data Streaming implemented for the Gyrokinetic
  Toroidal Code},
  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/pap207.pdf},
  keywords = {grid, parallel data streams, hydrodynamics, application, parallel
  I/O, pario-app, pario-bib},
  abstract = {We have developed a threaded parallel data streaming approach
  using Globus to transfer multi-terabyte simulation data from a remote
  supercomputer to the scientist's home analysis/visualization cluster, as the
  simulation executes, with negligible overhead. Data transfer experiments show
  that this concurrent data transfer approach is more favorable compared with
  writing to local disk and then transferring this data to be post-processed.
  The present approach is conducive to using the grid to pipeline the
  simulation with post-processing and visualization. We have applied this
  method to the Gyrokinetic Toroidal Code (GTC), a 3-dimensional
  particle-in-cell code used to study micro-turbulence in magnetic confinement
  fusion from first principles plasma theory.},
  comment = {published on the web}
}