Acta Optica Sinica, Volume. 44, Issue 18, 1801011(2024)

Research on Parallel Computing Methods for High-Resolution Atmospheric Spectral Lines

Zhiang Ma1,2, Dacheng Li2, Jun Wu2、*, and Chen Cheng2、**
Author Affiliations
  • 1Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, Anhui , China
  • 2Key Laboratory of General Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, Anhui , China
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    Figures & Tables(12)
    Schematic diagram of spectral line shape
    Flowchart of parallel computing model for universal atmospheric spectral lines
    Comparison of absorption cross-section calculation results in atmospheric environment. (a) Comparison of typical CO2 calculation examples; (b) absolute error
    Verification of non-uniform path radiance calculation results
    Acceleration ratio of CUDA stream when starting multiple kernel functions in parallel
    Calculation flow chart of commonly used K distribution method. (a) Absorption coefficients before reordering; (b) reordering of absorption coefficients after reordering; (c) relationship curve of g-k
    Flow chart for constructing correlated K distribution coefficient table
    Relationship curve of g-k
    Atmospheric transmittance calculated through the correlated K distribution coefficient library
    • Table 1. Calculation efficiency of H2O for different block_size under normal temperature and pressure, wave number range of 1000-10000 cm-1, and resolution of 0.01 cm-1

      View table

      Table 1. Calculation efficiency of H2O for different block_size under normal temperature and pressure, wave number range of 1000-10000 cm-1, and resolution of 0.01 cm-1

      Block_sizeTime /ms
      322388.1
      642268.9
      1282207.9
      2562309.1
      512Unable to start
    • Table 2. Calculation efficiency of H2O with different number of grid points under normal temperature and pressure, wave number range of 1000-10000 cm-1, and resolution of 0.01 cm-1

      View table

      Table 2. Calculation efficiency of H2O with different number of grid points under normal temperature and pressure, wave number range of 1000-10000 cm-1, and resolution of 0.01 cm-1

      Grid pointTime /ms
      1350.5
      2234.7
      3201.6
      4159.3
      5164.3
      6196.6
    • Table 3. Acceleration ratio of parallel computing transmittance at different resolutions

      View table

      Table 3. Acceleration ratio of parallel computing transmittance at different resolutions

      Resolution /

      cm-1

      Serial program /msParallelprogram /msRatio
      0.50002807.541.667.5
      0.050022187.263.1351.6
      0.0100107742.0187.3575.3
      0.00101168374.41555.5751.2
      0.000111017332.313705.0803.9
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    Zhiang Ma, Dacheng Li, Jun Wu, Chen Cheng. Research on Parallel Computing Methods for High-Resolution Atmospheric Spectral Lines[J]. Acta Optica Sinica, 2024, 44(18): 1801011

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Jan. 2, 2024

    Accepted: Mar. 4, 2024

    Published Online: Aug. 21, 2024

    The Author Email: Wu Jun (wujun@aiofm.ac.cn), Cheng Chen (chengchen@aiofm.ac.cn)

    DOI:10.3788/AOS232018

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