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    Asynchronous computations for solving the acoustic wave propagation equation

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    hpc-19-0066.pdf
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    1.561Mb
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    Description:
    Accepted manuscript
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    Type
    Article
    Authors
    Akbudak, Kadir cc
    Ltaief, Hatem cc
    Etienne, Vincent
    Abdelkhalak, Rached
    Tonellot, Thierry
    Keyes, David E. cc
    KAUST Department
    Extreme Computing Research Center
    Applied Mathematics and Computational Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Office of the President
    Date
    2020-05-19
    Online Publication Date
    2020-05-19
    Print Publication Date
    2020-07
    Permanent link to this record
    http://hdl.handle.net/10754/662949
    
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    Abstract
    The aim of this study is to design and implement an asynchronous computational scheme for solving the acoustic wave propagation equation with absorbing boundary conditions (ABCs) in the context of seismic imaging applications. While the convolutional perfectly matched layer (CPML) is typically used for ABCs in the oil and gas industry, its formulation further stresses memory accesses and decreases the arithmetic intensity at the physical domain boundaries. The challenges with CPML are twofold: (1) the strong, inherent data dependencies imposed on the explicit time-stepping scheme render asynchronous time integration cumbersome and (2) the idle time is further exacerbated by the load imbalance introduced among processing units. In fact, the CPML formulation of the ABCs requires expensive synchronization points, which may hinder the parallel performance of the overall asynchronous time integration. In particular, when deployed in conjunction with the multicore-optimized wavefront diamond temporal blocking (MWD-TB) approach for the inner domain points, it results in a major performance slow down. To relax CPML’s synchrony and mitigate the resulting load imbalance, we embed CPML’s calculation into MWD-TB’s inner loop and carry on the time integration with fine-grained computations in an asynchronous, holistic way. This comes at the price of storing transient results to alleviate dependencies from critical data hazards while maintaining the numerical accuracy of the original scheme. Performance and scalability results on various x86 architectures demonstrate the superiority of MWD-TB with CPML support against the standard spatial blocking on various grid sizes. To our knowledge, this is the first practical study that highlights the consolidation of CPML ABCs with asynchronous temporal blocking stencil computations.
    Citation
    Akbudak, K., Ltaief, H., Etienne, V., Abdelkhalak, R., Tonellot, T., & Keyes, D. (2020). Asynchronous computations for solving the acoustic wave propagation equation. The International Journal of High Performance Computing Applications, 109434202092302. doi:10.1177/1094342020923027
    Sponsors
    The authors would like to thank the KAUST Supercomputing Laboratory for computing time and Thomas Gruber at Erlangen Regional Computing Center Erlangen, Germany, for his assistance in using likwid. K Akbudak and R Abdelkhalek acknowledge the support of Aramco through KAUST OSR contract #3226.
    Publisher
    SAGE Publications
    Journal
    The International Journal of High Performance Computing Applications
    DOI
    10.1177/1094342020923027
    Additional Links
    http://journals.sagepub.com/doi/10.1177/1094342020923027
    ae974a485f413a2113503eed53cd6c53
    10.1177/1094342020923027
    Scopus Count
    Collections
    Articles; Applied Mathematics and Computational Science Program; Extreme Computing Research Center; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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