1887
PDF

Abstract

Summary

In this work we present performance results of multicore wavefront diamond tiling blocking (MWD-TB) RTM and its superiority to the traditional spatial blocking-based RTM. MWD-TB RTM provides 2X speedup, while the use of MWD-TB technique in forward modeling provides 4X speedup.

For future work, we plan to deploy our MWD approach for the first-order acoustic wave equation into the full RTM and FWI pipelines using the latest Intel / AMD x86 architectures and GPU hardware accelerators. Please refer to the recent publication on this research [ ] for the wavefield modeling problem results on different architectures

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.2024636007
2024-09-16
2026-01-16
Loading full text...

Full text loading...

/deliver/fulltext/2214-4609/2024/eight-eage-high-performance-computing-workshop/7_-_Pavel_Plotnitskii.html?itemId=/content/papers/10.3997/2214-4609.2024636007&mimeType=html&fmt=ahah

References

  1. T.Malas, G.Hager, H.Ltaief, and D. E.Keyes. 2017. Multidimensional Intratile Parallelization for Memory-Starved Stencil Computations. ACM Trans. Parallel. Comput., https://doi.org/10.1145/3155290.
    [Google Scholar]
  2. K.Akbudak, H.Ltaief, V.Etienne, R.Abdelkhalak, T.Tonellot, and D.Keyes. 2020. Asynchronous Computations for Solving the Acoustic Wave Propagation Equation. The International Journal of High Performance Computing Applications34, 4 (2020), 377–393. https://doi.org/10.1177/1094342020923027.
    [Google Scholar]
  3. L.Qu, R.Abdelkhalak, H.Ltaief, I.Said, and D.Keyes. 2023. Exploiting temporal data reuse and asynchrony in the reverse time migration. The International Journal of High Performance Computing Applications37, 2 (2023), 132–150. https://doi.org/10.1177/10943420221128529.
    [Google Scholar]
  4. PavelPlotnitskii, LouisBeaurepaire, LongQu, KadirAkbudak, HatemLtaief, and David ElliotKeyes. 2024. Leveraging the High Bandwidth of Last-Level Cache for HPC Seismic Imaging Applications. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC '24). Association for Computing Machinery, New York, NY, USA, Article 22, 1–13. https://doi.org/10.1145/3659914.3659936
    [Google Scholar]
/content/papers/10.3997/2214-4609.2024636007
Loading
/content/papers/10.3997/2214-4609.2024636007
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error