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DTSTAMP:20260422T000711Z
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DTSTART;TZID=America/Denver:20231116T153000
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UID:submissions.supercomputing.org_SC23_sess166_pap481@linklings.com
SUMMARY:I/O in WRF: A Case Study in Modern Parallel I/O Techniques
DESCRIPTION:Zanhua Huang, Kaiyuan Hou, Ankit Agrawal, and Alok Choudhary (
 Northwestern University); Robert Ross (Argonne National Laboratory (ANL));
  and Wei-Keng Liao (Northwestern University)\n\nLarge-scale parallel appli
 cations can face significant I/O performance bottlenecks, making efficient
  I/O crucial. This work presents a comparative study of several parallel I
 /O implementations in the Weather Research and Forecasting model, includin
 g PnetCDF blocking and non-blocking I/O options, netCDF4, HDF5 Log VOL, an
 d ADIOS. For I/O methods creating files in a canonical data layout, PnetCD
 F's non-blocking option offers up to 2x improvement over its blocking opti
 on and up to 4.5x over HDF5 via netCDF4, demonstrating the effectiveness o
 f the write request aggregation technique. The HDF5 Log VOL outperforms AD
 IOS with a 4x improvement in write performance when creating files in the 
 log layout, although both require non-negligible time to convert the file 
 back to canonical order for post-run analysis. From these results, we extr
 act some observations that can guide I/O strategies for modern parallel co
 des.\n\nTag: Data Analysis, Visualization, and Storage, I/O and File Syste
 ms, State of the Practice\n\nRegistration Category: Tech Program Reg Pass\
 n\nReproducibility Badges: Artifact Available, Artifact Functional, Result
 s Reproduced\n\nSession Chair: Sarah Neuwirth (Johannes Gutenberg Universi
 ty Mainz)\n\n
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