@InProceedings{ap:workload,
  author = {Apratim Purakayastha and Carla Schlatter Ellis and David Kotz and
  Nils Nieuwejaar and Michael Best},
  title = {Characterizing Parallel File-Access Patterns on a Large-Scale
  Multiprocessor},
  booktitle = {Proceedings of the Ninth International Parallel Processing
  Symposium},
  year = {1995},
  month = {April},
  pages = {165--172},
  publisher = {IEEE Computer Society Press},
  copyright = {IEEE},
  earlier = {ap:workload-tr},
  later = {nieuwejaar:workload-tr},
  URL = {http://www.cs.dartmouth.edu/~dfk/papers/ap:workload.ps.gz},
  URLpdf = {http://www.cs.dartmouth.edu/~dfk/papers/ap:workload.pdf},
  keywords = {parallel I/O, file access pattern, multiprocessor file system,
  file system workload, dfk, pario-bib},
  abstract = {High-performance parallel file systems are needed to satisfy
  tremendous I/O requirements of parallel scientific applications. The design
  of such high-performance parallel file systems depends on a comprehensive
  understanding of the expected workload, but so far there have been very few
  usage studies of multiprocessor file systems. This paper is part of the
  CHARISMA project, which intends to fill this void by measuring real
  file-system workloads on various production parallel machines. In particular,
  here we present results from the CM-5 at the National Center for
  Supercomputing Applications. Our results are unique because we collect
  information about nearly every individual I/O request from the mix of jobs
  running on the machine. Analysis of the traces leads to various
  recommendations for parallel file-system design.},
  comment = {See also kotz:workload, nieuwejaar:strided.}
}