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  1. SAFe Program
  2. SP-369

Comparison of Solvers

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    • Data Processing
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      The performance improvement and memory reduction from O(n**2) to O( n) has large potential impact on cost.

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      The performance improvement and memory reduction from O(n**2) to O( n) has large potential impact on cost.
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      Estimate impact on overall computational cost
      Estimate impact on science data quality.

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      Estimate impact on overall computational cost Estimate impact on science data quality.
    • Team_YANDA
    • Sprint 5
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      In summary, the LSQR solver has quadratic performance with the number of antennas, and linear performance with the number of channels, as theoretically predicted; its memory consumption is also linear as expected. The SVD solver has major performance issues.

      Also, the building of the normal equations while scales quadratically with the number of antennas as expected, takes an order of magnitude longer time than solving them. The future work can be focused on improving this part.

      Show
      In summary, the LSQR solver has quadratic performance with the number of antennas, and linear performance with the number of channels, as theoretically predicted; its memory consumption is also linear as expected. The SVD solver has major performance issues. Also, the building of the normal equations while scales quadratically with the number of antennas as expected, takes an order of magnitude longer time than solving them. The future work can be focused on improving this part.
    • 3.6
    • PI24 - UNCOVERED

    Description

      Comparison of Yandasoft calibration solver against other implementations.

      related:

      SDPCDR-238, SDPCDR-300

       

      At this stage it was decided to compare the new Yandasoft calibration solver performance with available in literature performance data for other solvers (likes e.g. StefCal).

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                r.laing Laing, Robert
                m.dolensky Dolensky, Markus [X] (Inactive)
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