@InProceedings{kotz:explore,
  author = {David Kotz and Ting Cai},
  title = {Exploring the use of {I/O} Nodes for Computation in a {MIMD}
  Multiprocessor},
  booktitle = {Proceedings of the IPPS~'95 Workshop on Input/Output in Parallel
  and Distributed Systems},
  year = {1995},
  month = {April},
  pages = {78--89},
  copyright = {the authors},
  earlier = {kotz:explore-tr},
  URL = {http://www.cs.dartmouth.edu/~dfk/papers/kotz:explore.ps.gz},
  URLpdf = {http://www.cs.dartmouth.edu/~dfk/papers/kotz:explore.pdf},
  keywords = {parallel I/O, multiprocessor file system, dfk, pario-bib},
  abstract = {As parallel systems move into the production scientific-computing
  world, the emphasis will be on cost-effective solutions that provide high
  throughput for a mix of applications. Cost-effective solutions demand that a
  system make effective use of all of its resources. Many MIMD multiprocessors
  today, however, distinguish between ``compute'' and ``I/O'' nodes, the latter
  having attached disks and being dedicated to running the file-system server.
  This static division of responsibilities simplifies system management but
  does not necessarily lead to the best performance in workloads that need a
  different balance of computation and I/O. \par Of course, computational
  processes sharing a node with a file-system service may receive less CPU
  time, network bandwidth, and memory bandwidth than they would on a
  computation-only node. In this paper we begin to examine this issue
  experimentally. We found that high-performance I/O does not necessarily
  require substantial CPU time, leaving plenty of time for application
  computation. There were some complex file-system requests, however, which
  left little CPU time available to the application. (The impact on network and
  memory bandwidth still needs to be determined.) For applications (or users)
  that cannot tolerate an occasional interruption, we recommend that they
  continue to use only compute nodes. For tolerant applications needing more
  cycles than those provided by the compute nodes, we recommend that they take
  full advantage of {\em both\/} compute and I/O nodes for computation, and
  that operating systems should make this possible.}
}