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    Scientific Applications Performance Evaluation on Burst Buffer

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    Type
    Book Chapter
    Authors
    Markomanolis, Georgios
    Hadri, Bilel
    Khurram, Rooh Ul Amin
    Feki, Saber
    KAUST Department
    KAUST Supercomputing Laboratory (KSL)
    Supercomputing, Computational Scientists
    Date
    2017-10-20
    Online Publication Date
    2017-10-20
    Print Publication Date
    2017
    Permanent link to this record
    http://hdl.handle.net/10754/625936
    
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    Abstract
    Parallel I/O is an integral component of modern high performance computing, especially in storing and processing very large datasets, such as the case of seismic imaging, CFD, combustion and weather modeling. The storage hierarchy includes nowadays additional layers, the latest being the usage of SSD-based storage as a Burst Buffer for I/O acceleration. We present an in-depth analysis on how to use Burst Buffer for specific cases and how the internal MPI I/O aggregators operate according to the options that the user provides during his job submission. We analyze the performance of a range of I/O intensive scientific applications, at various scales on a large installation of Lustre parallel file system compared to an SSD-based Burst Buffer. Our results show a performance improvement over Lustre when using Burst Buffer. Moreover, we show results from a data hierarchy library which indicate that the standard I/O approaches are not enough to get the expected performance from this technology. The performance gain on the total execution time of the studied applications is between 1.16 and 3 times compared to Lustre. One of the test cases achieved an impressive I/O throughput of 900 GB/s on Burst Buffer.
    Citation
    Markomanolis GS, Hadri B, Khurram R, Feki S (2017) Scientific Applications Performance Evaluation on Burst Buffer. High Performance Computing: 701–711. Available: http://dx.doi.org/10.1007/978-3-319-67630-2_50.
    Sponsors
    For computer time, this research used the resources of the Supercomputing Core Laboratory at King Abdullah University of Science & Technology (KAUST) in Thuwal, Saudi Arabia.
    Publisher
    Springer Nature
    Journal
    Lecture Notes in Computer Science
    DOI
    10.1007/978-3-319-67630-2_50
    Additional Links
    https://link.springer.com/chapter/10.1007%2F978-3-319-67630-2_50
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-3-319-67630-2_50
    Scopus Count
    Collections
    KAUST Supercomputing Laboratory (KSL); Book Chapters

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