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    In Situ Visualization of WRF Data Using Universal Data Junction

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    Type
    Conference Paper
    Authors
    Esposito, Aniello cc
    Holst, Glendon
    KAUST Department
    Biological and Environmental Science and Engineering (BESE) Division
    Visualization
    Date
    2021-11-13
    Permanent link to this record
    http://hdl.handle.net/10754/673905
    
    Metadata
    Show full item record
    Abstract
    An in situ co-processing visualization pipeline based on the Universal Data Junction (UDJ) library and Inshimtu is presented and used for processing data from Weather Research and Forecasting (WRF) simulations. For the common case of analyzing just a number of fields during simulation, UDJ transfers and redistributes the data in approximately 6 % of the time needed by WRF for a MPI-IO output of all variables upon which a previous method with Inshimtu is based. The relative cost of transport and redistribution compared to IO remains approximately constant up to the highest considered node count without obvious impediments to scale further.
    Citation
    Esposito, A., & Holst, G. (2021). In Situ Visualization of WRF Data Using Universal Data Junction. High Performance Computing, 475–483. doi:10.1007/978-3-030-90539-2_32
    Sponsors
    This work is part of the HPE/Cray center of excellence collaboration at KAUST. UDJ development has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 773897. We want to thank Hari Dasari colleagues for helping with the test case as well as Tim Dykes and Utz Uwe Haus from the HPE EMEA research lab for support with UDJ.
    Publisher
    Springer International Publishing
    Conference/Event name
    International Conference on High Performance Computing, ISC High Performance 2021
    ISBN
    9783030905385
    DOI
    10.1007/978-3-030-90539-2_32
    Additional Links
    https://link.springer.com/10.1007/978-3-030-90539-2_32
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-3-030-90539-2_32
    Scopus Count
    Collections
    Conference Papers; Biological and Environmental Science and Engineering (BESE) Division

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