1 / 8

An HDF5-WRF module

Explore the integration of HDF5 I/O modules in Weather Research and Forecasting Model (WRF) to improve I/O performance, reduce file size, and enhance storage capabilities. This work, presented at WRF workshops and conferences, led to significant improvements in Parallel HDF5 implementation.

wpeter
Download Presentation

An HDF5-WRF module

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. An HDF5-WRF module MuQun Yang, Robert E. McGrath, Mike Folk National Center for Supercomputing ApplicationsUniversity of Illinois, Urbana-Champaign

  2. What is WRF? • Weather Research and Forecasting Model – Framework for Weather Model Community • Primarily uses sequential I/O with NetCDF

  3. Goal • Provide an optional HDF5 IO module for WRF • Investigate IO performance of WRF

  4. Results • Map WRF data model to HDF5 • Implemented two WRF IO modules • Sequential IO module with compression • Parallel IO module • Parallel IO module is include in WRF distribution • Performance studies • Presented to WRF workshop, conferences

  5. Findings • Parallel HDF5-WRF module can greatly reduce wall clock time in some WRF applications. • Sequential HDF5-WRF module can greatly reduce the WRF file size with szip or shuffling and deflate compression algorithms. • Parallel HDF5 library needs to be improved for chunking storage.

  6. Impact • Parallel HDF5 WRF I/O is available to modelling community • Included in WRF 2.0 source distribution (May 2004) • This investigation has led to improvements in Parallel HDF5

  7. For more information • HDF5 WRF IO: http://hdf.ncsa.uiuc.edu/apps/WRF-ROMS • WRF: http://www.wrf-model.org/

  8. Acknowledgements • This work is part of NSF-funded Modeling Environment for Atmospheric Discovery Expedition (MEAD) (http://www.ncsa.uiuc.edu/AboutUs/FocusAreas/MEADExpedition.html)

More Related