@InCollection{baylor:vulcan-perf-book,
  author = {Sandra Johnson Baylor and Caroline Benveniste and Yarsun Hsu},
  title = {Performance Evaluation of a Massively Parallel {I/O} Subsystem},
  booktitle = {Input/Output in Parallel and Distributed Computer Systems},
  chapter = {13},
  editor = {Ravi Jain and John Werth and James C. Browne},
  crossref = {iopads-book},
  year = {1996},
  series = {The Kluwer International Series in Engineering and Computer
  Science},
  volume = {362},
  pages = {293--311},
  publisher = {Kluwer Academic Publishers},
  earlier = {baylor:vulcan-perf},
  keywords = {parallel I/O architecture, performance evaluation, pario-bib},
  abstract = {Presented are the trace-driven simulation results of a study
  conducted to evaluate the performance of the internal parallel I/O subsystem
  of the Vulcan massively parallel processor (MPP) architecture. The system
  sizes evaluated vary from 16 to 512 nodes. The results show that a compute
  node to I/O node ratio of four is the most cost effective for all system
  sizes, suggesting high scalability. Also, processor-to-processor
  communication effects are negligible for small message sizes and the greater
  the fraction of I/O reads, the better the I/O performance. Worse case I/O
  node placement is within 13\% of more efficient placement strategies.
  Introducing parallelism into the internal I/O subsystem improves I/O
  performance significantly.},
  comment = {Part of a whole book on parallel I/O; see iopads-book.}
}