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A novel performance analysis workshop series concept, developed at Durham University under the umbrella of the ExCALIBUR programme

Basden, Alastair; Weinzierl, Marion; Weinzierl, Tobias; Wylie, Brian J. N.


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5155503", 
  "language": "eng", 
  "title": "A novel performance analysis workshop series concept, developed at Durham University under the umbrella of the ExCALIBUR programme", 
  "issued": {
    "date-parts": [
      [
        2021, 
        8, 
        3
      ]
    ]
  }, 
  "abstract": "<p>From January 2021 until July 2021, a group of members of the POP consortium, DiRAC, the<br>\nN8 CIR, Durham University&rsquo;s Institute for Computational Cosmology and members of Computer<br>\nScience organised a series of seven workshops around performance analysis and optimisation. The<br>\nseries covered a variety of tools, featured different invited speakers, and addressed inter-node, intra-<br>\nnode and core-level runtime efficiency. In contrast to established workshops that usually run en<br>\nbloc over multiple days with individual participants, we organised a series of one-day workshops<br>\nand invited teams of participants. Each team consisted of multiple (3&ndash;7) scientific software<br>\ndevelopers working together on one code base. This report summarises the workshops as well as<br>\nfeedback gathered at the end and throughout the series. It discusses interesting lessons learned<br>\nw.r.t. the status quo of the codes/teams that signed up for the series, it summarises impressions<br>\nregarding the training status and needs of the participants, and it relates these take-aways to<br>\ncurrent discussions around the training of high-performance computing application developers in<br>\nthe UK.</p>", 
  "author": [
    {
      "family": "Basden, Alastair"
    }, 
    {
      "family": "Weinzierl, Marion"
    }, 
    {
      "family": "Weinzierl, Tobias"
    }, 
    {
      "family": "Wylie, Brian J. N."
    }
  ], 
  "version": "1.0", 
  "type": "article", 
  "id": "5155503"
}
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