% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{Klijn:864600,
      author       = {Klijn, Wouter and Diaz, Sandra and Morrison, Abigail and
                      Peyser, Alexander},
      title        = {{S}taged deployment of interactive multi-application {HPC}
                      workflows},
      publisher    = {IEEE},
      reportid     = {FZJ-2019-04310},
      pages        = {305-311},
      year         = {2020},
      abstract     = {Running scientific workflows on a supercomputer can be a
                      daunting task for a scientific domain specialist. Workflow
                      management solutions (WMS) are a standard method for
                      reducing the complexity of application deployment on high
                      performance computing (HPC) infrastructure. We introduce the
                      design for a middleware system that extends and combines the
                      functionality from existing solutions in order to create a
                      high-level, staged user-centric operation/deployment model.
                      This design addresses the requirements of several use cases
                      in the life sciences, with a focus on neuroscience. In this
                      manuscript we focus on two use cases: 1) three coupled
                      neuronal simulators (for three different space/time scales)
                      with in-transit visualization and 2) a closed-loop workflow
                      optimized by machine learning, coupling a robot with a
                      neural network simulation. We provide a detailed overview of
                      the application-integrated monitoring in relationship with
                      the HPC job. We present here a novel usage model for large
                      scale interactive multi-application workflows running on HPC
                      systems which aims at reducing the complexity of deployment
                      and execution, thus enabling new science.},
      month         = {Jul},
      date          = {2019-07-15},
      organization  = {The 2019 International Conference on
                       High Performance Computing $\&$
                       Simulation, Dublin (Ireland), 15 Jul
                       2019 - 19 Jul 2019},
      cin          = {JSC / INM-6},
      cid          = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)INM-6-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / HBP SGA2 - Human Brain Project Specific Grant
                      Agreement 2 (785907) / HBP SGA1 - Human Brain Project
                      Specific Grant Agreement 1 (720270) / SLNS - SimLab
                      Neuroscience (Helmholtz-SLNS)},
      pid          = {G:(DE-HGF)POF3-511 / G:(EU-Grant)785907 /
                      G:(EU-Grant)720270 / G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)8},
      doi          = {10.1109/HPCS48598.2019.9188104},
      url          = {https://juser.fz-juelich.de/record/864600},
}