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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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A parallel texture-based region-growing algorithm implemented in OpenMP.

Carlos Couder-Castañeda1, Mauricio Orozco-Del-Castillo2, Diego Padilla-Perez1

  • 1Centro de Desarrollo Aeroespacial, Instituto Politécnico Nacional, Mexico City, 06610, Mexico.

Scientific Reports
|February 14, 2025
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Summary
This summary is machine-generated.

This study presents an OpenMP parallel search-growing algorithm for seismic data analysis. The fine-grained lock-based parallelization efficiently extracts volumes and detects salt bodies in 3D voxel images.

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Area of Science:

  • Geophysics
  • Computational Science
  • Parallel Computing

Background:

  • Seismic data analysis requires efficient volume extraction for salt body detection.
  • Traditional methods can be computationally intensive, limiting scalability.
  • Parallel computing offers potential for accelerating seismic data processing.

Purpose of the Study:

  • To develop and implement an innovative OpenMP design for a search-growing algorithm.
  • To enhance automatic volume extraction in 3D seismic voxel data.
  • To improve the detection of salt bodies and assessment of voxel texture.

Main Methods:

  • Developed a search-growing algorithm initially in MATLAB, then Fortran.
  • Implemented a fine-grained, lock-based parallelization using OpenMP pragmas.
  • Utilized OpenMP locks for thread synchronization to ensure data coherence during voxel analysis.
  • Secured individual voxels to adapt to the 3D image structure.

Main Results:

  • The OpenMP parallel version significantly decreased execution time.
  • Lock-based synchronization did not induce latency due to non-conflicting thread access.
  • Performance was evaluated on a dual Xeon system with 20 physical cores.
  • Hyperthreading (HT) provided a slight performance improvement.

Conclusions:

  • The proposed OpenMP design offers an efficient approach for parallelizing seismic data analysis.
  • Fine-grained lock-based parallelization enhances performance and reduces execution time for volume extraction.
  • The algorithm effectively detects salt bodies and assesses voxel texture in 3D seismic images.