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  1. SAFe Program
  2. SP-290

Evolutionary prototype of real-time imaging pipeline

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    • Data Processing
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      • Initial evolutionany protoype software onboarded into Github
      • Demonstration of functional snapshot imaging pipeline and validation against CASA and/or ASKAPsoft imaging
      • Demonstration of integration with SP-115 prototype firmware CSP.CBF code (stretch)
      • Document any effects of visibility data layout options, formats, issues for real-time SDP components
      Show
      Initial evolutionany protoype software onboarded into Github Demonstration of functional snapshot imaging pipeline and validation against CASA and/or ASKAPsoft imaging Demonstration of integration with SP-115 prototype firmware CSP.CBF code (stretch) Document any effects of visibility data layout options, formats, issues for real-time SDP components
    • 2
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    • Team_NZAPP
    • Sprint 5
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      Initial evolutionary prototype imaging pipeline software has been implemented and onboarded, and can be found in the following Github repositories:

      W-Projection based Convolutional Gridding (includes inverse FFT and convolution correction):
      https://github.com/ska-telescope/CUDA_Gridder

      Deconvolution (Högbom CLEAN):
      https://github.com/ska-telescope/CUDA_Deconvolution

      W-Projection based Convolutional Degridding (includes forward FFT and convolution correction):
      https://github.com/ska-telescope/CUDA_Degridder

      Direct Fourier Transform (alternative substitute for degridding / FFT / convolution correction):
      https://github.com/ska-telescope/CUDA_DFT

      Forward Solver (merger of Gridding and Deconvolution algorithms):
      https://github.com/ska-telescope/CUDA_Solver

      The stretch acceptance criteria has not yet been achieved. However, the aforementioned algorithms have been validated against an existing MATLAB/ASKAPsoft imaging model.

      Show
      Initial evolutionary prototype imaging pipeline software has been implemented and onboarded, and can be found in the following Github repositories: W-Projection based Convolutional Gridding (includes inverse FFT and convolution correction): https://github.com/ska-telescope/CUDA_Gridder Deconvolution (Högbom CLEAN): https://github.com/ska-telescope/CUDA_Deconvolution W-Projection based Convolutional Degridding (includes forward FFT and convolution correction): https://github.com/ska-telescope/CUDA_Degridder Direct Fourier Transform (alternative substitute for degridding / FFT / convolution correction): https://github.com/ska-telescope/CUDA_DFT Forward Solver (merger of Gridding and Deconvolution algorithms): https://github.com/ska-telescope/CUDA_Solver The stretch acceptance criteria has not yet been achieved. However, the aforementioned algorithms have been validated against an existing MATLAB/ASKAPsoft imaging model.
    • 11.4
    • Stories Completed, Outcomes Reviewed, Satisfies Acceptance Criteria

    • PI24 - UNCOVERED

    • DP_epic_6 Team_NZAPP

    Description

      A prototype snapshot imaging pipeline will be implemented to verify the data rates attainable for components of the SDP that require non-buffered real-time processing of CSP.CBF visibility data. This will utilise hardware accelerators to provide better sizing estimates for the SDP real-time system components.

      This feature will extend the evolutionary prototype integration work initiated in SP-115, providing a test of the data layout options for the ingest side of the CSP-SDP ICD, and effects on imaging of packet loss at high data rates.

      Related to SP-106, SP-287

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          Feature - A Feature is a service that fulfills a stakeholder need. Each feature includes a benefit hypothesis and acceptance criteria, and is sized or split as necessary to be delivered by a single Agile Release Train (ART) in a Program Increment (PI). SP-291 Optimisation of prototype real-time imaging pipeline

          • Not Assigned - Priority is not assigned yet.
          • Done

          Feature - A Feature is a service that fulfills a stakeholder need. Each feature includes a benefit hypothesis and acceptance criteria, and is sized or split as necessary to be delivered by a single Agile Release Train (ART) in a Program Increment (PI). SP-417 Enhance imaging evolutionary prototype to include gain calibration

          • Not Assigned - Priority is not assigned yet.
          • Done
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                m.deegan Deegan, Miles
                S.Hall Hall, Seth [X] (Inactive)
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                Feature Progress

                  Story Point Burn-up: (100.00%)

                  Feature Estimate: 2.0

                  IssuesStory Points
                  To Do00.0
                  In Progress   00.0
                  Complete1127.0
                  Total1127.0

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