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  1. SAFe Program
  2. SP-3166

Optimise and integrate the Single Pulse Detection component of the PSS Single Pulse Search pipeline

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    • Feature
    • Should have
    • PI18
    • COM PSS SW
    • None
    • Data Processing
    • Hide

      Finalises the end-to-end integrated Single Pulse Search pipeline of PSS that is independent of legacy external libraries (Astroaccelerate)

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      Finalises the end-to-end integrated Single Pulse Search pipeline of PSS that is independent of legacy external libraries (Astroaccelerate)
    • Hide

      A new AVX-512 version of DDTR and SPDT integrated into CHEETAH with appropriate unit tests.

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      A new AVX-512 version of DDTR and SPDT integrated into CHEETAH with appropriate unit tests.
    • 4
    • 4
    • 0
    • Team_PSS
    • Sprint 5
    • Hide

      The AVX version of DDTR and SPDT have been integrated into Cheetah in this feature branch: (https://gitlab.com/ska-telescope/pss/ska-pss-cheetah/-/tree/AT4_1025_Klotski)

      We have also compared the existing CPU implementation to the AVX version and written up some details here: https://www.overleaf.com/read/tmkpkvrjnqnj

      Show
      The AVX version of DDTR and SPDT have been integrated into Cheetah in this feature branch: ( https://gitlab.com/ska-telescope/pss/ska-pss-cheetah/-/tree/AT4_1025_Klotski ) We have also compared the existing CPU implementation to the AVX version and written up some details here: https://www.overleaf.com/read/tmkpkvrjnqnj
    • 18.6
    • Stories Completed, Outcomes Reviewed, Satisfies Acceptance Criteria, Accepted by FO
    • PI22 - UNCOVERED

    Description

      •  After the integration of SPDT into CHEETAH in PI 17, we have a full end-to-end pipeline for SPS which is not dependent on any third party libraries. We would like to check the performance of the SPS end-to-end pipeline.

      • As a second part we will investigate and develop a AVX-512 based DDTR and SPS modules which should (theoretically) boost the performance.

      • Finally, we will integrate the new modules into CHEETAH and measure the increase in performance (if any).

       

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                A.Noutsos Noutsos, Aristeidis
                L.Levin-Preston Levin-Preston, Lina
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                Feature Progress

                  Story Point Burn-up: (100.00%)

                  Feature Estimate: 4.0

                  IssuesStory Points
                  To Do00.0
                  In Progress   00.0
                  Complete530.0
                  Total530.0

                  Dates

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                    Updated:
                    Resolved:

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