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  1. SAFe Program
  2. SP-1599

Integrate DDTR kernel from AstroAccelerate to CHEETAH

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    • Data Processing
    • Hide

      Code quality will be vastly improved and we look forward to some host CPU speedups in prepping the data for GPU execution.

      Enable deployment against most versions of AstroAcclerate we are aware of. 

      Improved configuration management of this dependency leading to reproducible deployment in our supported environments and eliminating the need for undocumented patches.

      A stepping stone in eliminating all AstroAccelerate dependency (apart from the GPU kernels) altogether.

      Show
      Code quality will be vastly improved and we look forward to some host CPU speedups in prepping the data for GPU execution. Enable deployment against most versions of AstroAcclerate we are aware of.  Improved configuration management of this dependency leading to reproducible deployment in our supported environments and eliminating the need for undocumented patches. A stepping stone in eliminating all AstroAccelerate dependency (apart from the GPU kernels) altogether.
    • Hide

      Given  CHEETAH pipeline with the new DDTR module

      When we run unit tests for testing DDTR,  

      Then DMTrials objects should be produced that can be flexibly transferred to the host or to another CUDA function for further GPU based processing.

      Show
      Given   CHEETAH pipeline with the new DDTR module When  we run unit tests for testing DDTR,   Then  DMTrials objects should be produced that can be flexibly transferred to the host or to another CUDA function for further GPU based processing.
    • 2.5
    • 2.5
    • 5
    • 2
    • Team_PSS
    • Sprint 4
    • Hide

      Insert links to relevant docs and/or code here:
      https://gitlab.com/SKA-TDT/panda/-/merge_requests/37

      https://gitlab.com/SKA-TDT/panda/-/commit/07786415be8addb8b2e69f500248c8f6d1f41fd8

      Merged to dev (https://gitlab.com/SKA-TDT/cheetah/-/commit/43c980d54eb6821beb487b719bb49b30d16962b4)

      Show
      Insert links to relevant docs and/or code here: https://gitlab.com/SKA-TDT/panda/-/merge_requests/37 https://gitlab.com/SKA-TDT/panda/-/commit/07786415be8addb8b2e69f500248c8f6d1f41fd8 Merged to dev ( https://gitlab.com/SKA-TDT/cheetah/-/commit/43c980d54eb6821beb487b719bb49b30d16962b4 )
    • 12.6
    • Stories Completed, Outcomes Reviewed, Demonstrated, Satisfies Acceptance Criteria, Accepted by FO

    • PI22 - UNCOVERED

    Description

      Objective: To integrate DDTR kernel from AstroAccelerate to CHEETAH 
      Key Result: CHEETAH will have a GPU DDTR kernel based on a master branch version of AstroAccelerate. 

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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-1600 Integrate single pulse detection kernel from AstroAccelerate to CHEETAH

          • Should have - Items labelled as "Should have" are important but not necessary for delivery in the current delivery timebox. While "Should have" items can be as important as "Must have", they are often not as time-critical or there may be another way to satisfy the requirement so that it can be held back until a future delivery timebox.
          • 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-1417 Develop an interface for integrating AstroAccelerate to CHEETAH

          • Not Assigned - Priority is not assigned yet.
          • Done
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                A.Noutsos Noutsos, Aristeidis
                m.pearson Pearson, Mike [X] (Inactive)
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                Feature Progress

                  Story Point Burn-up: (100.00%)

                  Feature Estimate: 2.5

                  IssuesStory Points
                  To Do00.0
                  In Progress   00.0
                  Complete220.0
                  Total220.0

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