@InProceedings{nieplocha:arrays,
  author = {Jarek Nieplocha and Ian Foster},
  title = {Disk Resident Arrays: An Array-Oriented {I/O} Library for
  Out-Of-Core Computations},
  booktitle = {Proceedings of the Sixth Symposium on the Frontiers of Massively
  Parallel Computation},
  year = {1996},
  month = {October},
  pages = {196--204},
  publisher = {IEEE Computer Society Press},
  later = {foster:arrays},
  keywords = {parallel I/O, pario-bib},
  abstract = {In out-of-core computations, disk storage is treated as another
  level in the memory hierarchy, below cache, local memory, and (in a parallel
  computer) remote memories. However the tools used to manage this storage are
  typically quite different from those used to manage access to local and
  remote memory. This disparity complicates implementation of out-of-core
  algorithms and hinders portability. We describe a programming model that
  addresses this problem. This model allows parallel programs to use
  essentially the same mechanisms to manage the movement of data between any
  two adjacent levels in a hierarchical memory system. We take as our starting
  point the Global Arrays shared-memory model and library, which support a
  variety of operations on distributed arrays, including transfer between local
  and remote memories. We show how this model can be extended to support
  explicit transfer between global memory and secondary storage, and we define
  a Disk Resident Arrays Library that supports such transfers. We illustrate
  the utility of the resulting model with two applications, an out-of-core
  matrix multiplication and a large computational chemistry program. We also
  describe implementation techniques on several parallel computers and present
  experimental results that demonstrate that the Disk Resident Arrays model can
  be implemented very efficiently on parallel computers.}
}