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  1. SAFe Program
  2. SP-4515

Sharing UKSRC demonstrator cases

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    • SRCnet
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      Substantial work has been done in the UK on collating a range of pathfinder/precursor demonstrator cases and running them on existing UKSRC facilities. A lot of this will generalize to SRCNet as a whole and could be useful to the whole project as we move towards v0.2.

      We will provide data, workflows and documentation for the parts of the cases that can be shared publicly.

      Show
      Substantial work has been done in the UK on collating a range of pathfinder/precursor demonstrator cases and running them on existing UKSRC facilities. A lot of this will generalize to SRCNet as a whole and could be useful to the whole project as we move towards v0.2. We will provide data, workflows and documentation for the parts of the cases that can be shared publicly.
    • Hide

      AC1: Clear top-level descriptions of the demonstrator cases and the data used will be placed on Confluence

      AC2: Workflows for some subset of the demonstrator cases will be shared through SRCNet gitlab or other suitable repository and suitably documented

      AC3: Demonstrator cases will be shown to run on more than one science platform (e.g. both Azimuth and  CANFAR).

      Show
      AC1: Clear top-level descriptions of the demonstrator cases and the data used will be placed on Confluence AC2: Workflows for some subset of the demonstrator cases will be shared through SRCNet gitlab or other suitable repository and suitably documented AC3: Demonstrator cases will be shown to run on more than one science platform (e.g. both Azimuth and  CANFAR).
    • 2
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    • Team_TEAL
    • Sprint 5
    • PI24 - UNCOVERED

    • PI24-PB team_TEAL

    Description

      The Teal team has been working on UKSRC science demonstrator cases making use of pathfinder and precursor data. Some of these can be shared in part or whole with SRCNet allowing them to be run as demonstrator/test workloads.

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                b.mort Mort, Ben
                M.Hardcastle Hardcastle, Martin
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                Feature Progress

                  Story Point Burn-up: (69.23%)

                  Feature Estimate: 2.0

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                  Dates

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