An application-level parallel I/O library for Earth system models

John M. Dennis, Jim Edwards, Ray Loy, Robert Jacob, Arthur A. Mirin, Anthony P. Craig, Mariana Vertenstein

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

Abstract

We describe the design and implementation of an application-level parallel I/O (PIO) library for the reading and writing of distributed arrays to several common scientific data formats. PIO provides the flexibility to control the number of I/O tasks through data rearrangement to an I/O friendly decomposition. This flexibility enables reductions in per task memory usage and improvements in disk I/O performance versus a serial I/O approach. We illustrate the impact various features within PIO have on memory usage and disk I/O bandwidth on a Cray XT5 system.

Original languageEnglish
Pages (from-to)43-53
Number of pages11
JournalInternational Journal of High Performance Computing Applications
Volume26
Issue number1
DOIs
StatePublished - Feb 2012

Keywords

  • Earth System Modeling
  • memory efficient
  • netCDF
  • parallel computing
  • Parallel I/O

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