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@ARTICLE{Drge:910515,
      author       = {Dröge, Bob and Holanda Rusu, Victor and Hoste, Kenneth and
                      Leeuwen, Caspar and O'Cais, Alan and Röblitz, Thomas},
      title        = {{EESSI}: {A} cross‐platform ready‐to‐use optimised
                      scientific software stack},
      journal      = {Software},
      volume       = {53},
      number       = {1},
      issn         = {0038-0644},
      address      = {Chichester [u.a.]},
      publisher    = {Wiley},
      reportid     = {FZJ-2022-03898},
      pages        = {176-210},
      year         = {2023},
      abstract     = {Getting scientific software installed correctly and
                      ensuring it performs well has been a ubiquitous problem for
                      several decades now, which is compounded currently by the
                      changing landscape of computational science with the
                      (re-)emergence of different microprocessor families, and the
                      expansion to additional scientific domains like artificial
                      intelligence and next-generation sequencing. The European
                      Environment for Scientific Software Installations (EESSI)
                      project aims to provide a ready-to-use stack of scientific
                      software installations that can be leveraged easily on a
                      variety of platforms, ranging from personal workstations to
                      cloud environments and supercomputer infrastructure, without
                      making compromises with respect to performance. In this
                      article, we provide a detailed overview of the project,
                      highlight potential use cases, and demonstrate that the
                      performance of the provided scientific software
                      installations can be competitive with system-specific
                      installations.},
      cin          = {JSC},
      ddc          = {004},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
                      and Research Groups (POF4-511) / ICEI - Interactive
                      Computing E-Infrastructure for the Human Brain Project
                      (800858) / E-CAM - An e-infrastructure for software,
                      training and consultancy in simulation and modelling
                      (676531)},
      pid          = {G:(DE-HGF)POF4-5112 / G:(EU-Grant)800858 /
                      G:(EU-Grant)676531},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000756126400001},
      doi          = {10.1002/spe.3075},
      url          = {https://juser.fz-juelich.de/record/910515},
}