Keeping Science on Keel When Software Moves.

The article examines the problem of false or misleading conclusions in science that stem from difficulties in reproducibility associated with porting more efficient scientific software in high performance computing (HPC). It discusses the concept of bisection, statistical combinations testing in the...

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Publicado en:Communications of the ACM Vol. 64; no. 2; pp. 66 - 75
Autores principales: AHN, DONG H., BAKER, ALLISON H., BENTLEY, MICHAEL, BRIGGS, IAN, GOPALAKRISHNAN, GANESH, HAMMERLING, DORIT M., LAGUNA, IGNACIO, LEE, GREGORY L., MILROY, DANIEL J., VERTENSTEIN, MARIANA
Formato: Artículo
Publicado: Association for Computing Machinery Feb2021
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Keeping Science on Keel When Software Moves.
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          AHN, DONG H.
          BAKER, ALLISON H.
          BENTLEY, MICHAEL
          BRIGGS, IAN
          GOPALAKRISHNAN, GANESH
          HAMMERLING, DORIT M.
          LAGUNA, IGNACIO
          LEE, GREGORY L.
          MILROY, DANIEL J.
          VERTENSTEIN, MARIANA
      su:
        High performance computing
        Computer software development
        Application software porting
        Reproducible research
        Science
        Engineering
      sug:
        subj:
          High performance computing
          Computer software development
          Application software porting
          Reproducible research
          Science
          Engineering
      ab: The article examines the problem of false or misleading conclusions in science that stem from difficulties in reproducibility associated with porting more efficient scientific software in high performance computing (HPC). It discusses the concept of bisection, statistical combinations testing in the Community Earth System Model (CESM), and the FLiT workflow.
      pubtype: Periodical
      doctype: Article
      src: R
    language: English
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