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@ARTICLE{Narasimhamurthy:844901,
      author       = {Narasimhamurthy, Sai and Danilov, Nikita and Wu, Sining and
                      Umanesan, Ganesan and Markidis, Stefano and Rivas-Gomez,
                      Sergio and Peng, Ivy Bo and Laure, Erwin and Pleiter, Dirk
                      and Witt, Shaun de},
      title        = {{SAGE}: {P}ercipient {S}torage for {E}xascale {D}ata
                      {C}entric {C}omputing},
      journal      = {Parallel computing},
      volume       = {83},
      issn         = {0167-8191},
      address      = {Amsterdam [u.a.]},
      publisher    = {North-Holland, Elsevier Science},
      reportid     = {FZJ-2018-02243},
      pages        = {22-33},
      year         = {2019},
      abstract     = {We aim to implement a Big Data/Extreme Computing (BDEC)
                      capable system infrastructure as we head towards the era of
                      Exascale computing - termed SAGE (Percipient StorAGe for
                      Exascale Data Centric Computing). The SAGE system will be
                      capable of storing and processing immense volumes of data at
                      the Exascale regime, and provide the capability for Exascale
                      class applications to use such a storage infrastructure.SAGE
                      addresses the increasing overlaps between Big Data Analysis
                      and HPC in an era of next-generation data centric computing
                      that has developed due to the proliferation of massive data
                      sources, such as large, dispersed scientific instruments and
                      sensors, whose data needs to be processed, analysed and
                      integrated into simulations to derive scientific and
                      innovative insights. Indeed, Exascale I/O, as a problem that
                      has not been sufficiently dealt with for simulation codes,
                      is appropriately addressed by the SAGE platform.The
                      objective of this paper is to discuss the software
                      architecture of the SAGE system and look at early results we
                      have obtained employing some of its key methodologies, as
                      the system continues to evolve.},
      cin          = {JSC},
      ddc          = {004},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {513 - Supercomputer Facility (POF3-513) / SAGE - SAGE
                      (671500)},
      pid          = {G:(DE-HGF)POF3-513 / G:(EU-Grant)671500},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000469898400003},
      doi          = {10.1016/j.parco.2018.03.002},
      url          = {https://juser.fz-juelich.de/record/844901},
}