Scientific Data Management Center for Enabling Technologies Page: 36 of 64
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Report/SDM/NCSU/(FC02-07)ER25809/v14
6. We have demonstrated the value of an Application Log File format (ALF), in it's ability to place
data on storage targets, thereby increasing concurrency for I/O patterns common for codes in
reading.
7. We have worked closely with the S3D team to further help scale their code to 98K cores, having
an I/O impact <1% to their calculation, using our sub-filing technique; including open, read, and
close.
8. We have worked on new ADIOS methods which are capable of increasing the QoS for
simulations, demonstrating this for "real-codes" such as XGC-1, allowing them to scale to over
240K cores.
9. We have worked closely with the DMA team, to increase the Statistics generated in ADIOS,
automatically for the scientist. This includes such statistics as min/max, average, and standard
deviation across each time step separately.
10. We have worked on optimal methods for the IBM BGP at the ALCF, using the GTC-P code,
allowing their code to get "near-optimal" performance on the ALCF file system.34
Jan-13
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Vouk, Mladen A. Scientific Data Management Center for Enabling Technologies, report, January 15, 2013; United States. (https://digital.library.unt.edu/ark:/67531/metadc839220/m1/36/: accessed April 23, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.