@InProceedings{mache:spatial,
  author = {Jens Mache and Virginia Lo and Marilynn Livingston and Sharad
  Garg},
  title = {The Impact of Spatial Layout of Jobs on Parallel {I/O} Performance},
  booktitle = {Proceedings of the Sixth Workshop on Input/Output in Parallel
  and Distributed Systems},
  year = {1999},
  month = {May},
  pages = {45--56},
  publisher = {ACM Press},
  address = {Atlanta, GA},
  URL = {http://vibes.cs.uiuc.edu/IOPADS/Accepted/Mache.ps},
  keywords = {parallel I/O, pario-bib},
  abstract = {Input/Output is a big obstacle to effective use of
  teraflops-scale computing systems. Motivated by earlier parallel I/O
  measurements on an Intel TFLOPS machine, we conduct studies to determine the
  sensitivity of parallel I/O performance on multi-programmed mesh-connected
  machines with respect to number of I/O nodes, number of compute nodes,
  network link bandwidth, I/O node bandwidth, spatial layout of jobs, and read
  or write demands of applications. \par Our extensive simulations and
  analytical modeling yield important insights into the limitations on parallel
  I/O performance due to network contention, and into the possible gains in
  parallel I/O performance that can be achieved by tuning the spatial layout of
  jobs. \par Applying these results, we devise a new processor allocation
  strategy that is sensitive to parallel I/O traffic and the resulting network
  contention. In performance evaluations driven by synthetic workloads and by a
  real workload trace captured at the San Diego Supercomputing Center, the new
  strategy improves the average response time of parallel I/O intensive jobs by
  up to a factor of 4.5.}
}