@InProceedings{bordawekar:model,
  author = {Rajesh Bordawekar and Alok Choudhary and Ken Kennedy and Charles
  Koelbel and Michael Paleczny},
  title = {A Model and Compilation Strategy for Out-of-core Data Parallel
  Programs},
  booktitle = {Proceedings of the Fifth ACM SIGPLAN Symposium on Principles and
  Practice of Parallel Programming},
  year = {1995},
  month = {July},
  pages = {1--10},
  publisher = {ACM Press},
  address = {Santa Barbara, CA},
  note = {Also available as the following technical reports: NPAC Technical
  Report SCCS-0696, CRPC Technical Report CRPC-TR94507-S, SIO Technical Report
  CACR SIO-104},
  earlier = {bordawekar:model-tr},
  URL = {http://www.cacr.caltech.edu/techpubs/PAPERS/cacr104.ps},
  keywords = {parallel I/O, compiler, pario-bib},
  abstract = {It is widely acknowledged in high-performance computing circles
  that parallel input/output needs substantial improvement in order to make
  scalable computers truly usable. We present a data storage model that allows
  processors independent access to their own data and a corresponding
  compilation strategy that integrates data-parallel computation with data
  distribution for out-of-core problems. Our results compare several
  communication methods and I/O optimizations using two out-of-core problems,
  Jacobi iteration and LU factorization.}
}