@INCOLLECTION{BursteddeFonsecaKollet17a,
  author = {Carsten Burstedde and Jose A.\ Fonseca and Stefan Kollet},
  title = {The Simulation platform {P}arflow},
  editor = {Br{\"o}mmel, Dirk and Frings, Wolfgang and Wylie, Brian J. N.},
  booktitle = {JUQUEEN Extreme Scaling Workshop 2017},
  publisher = {J\"ulich Supercomputing Centre},
  number       = {FZJ-JSC-IB-2017-01},
  reportid     = {FZJ-2017-02087, FZJ-JSC-IB-2017-01},
  abstract     = {From 23 to 25 January 2017, JSC organised its eighth IBM
                  Blue Gene Extreme Scaling Workshop. The entire 28-rack
                  JUQUEEN Blue Gene/Q was reserved for over 50 hours to allow
                  six selected code teams to investigate and improve the
                  scalability of their applications. Ultimately, all six codes
                  managed to run using the full complement of 458,752 cores
                  (most with over 1.8 million threads). MPAS-A (KIT/NCAR) and
                  the pe rigid body physics engine (FAU) were both able to
                  display strong scalability to 28 racks and thereby become
                  candidates for High-Q Club membership. MPAS-A returned after
                  participating in the 2015 workshop with a higher resolution
                  dataset and substantially improved file I/O using SIONlib to
                  successfully manage its largest ever global atmospheric
                  simulation. While the hydrology simulator ParFlow
                  (UBonn/FZJ-IGB) had recently demonstrated execution scaling
                  to the full JUQUEEN without file writing enabled, during the
                  workshop the focus was investigating file I/O performance
                  which remains a bottleneck. High-Q Club member KKRnano
                  (FZJ-IAS) investigated the scalability of a new solver
                  algorithm developed to handle a million atoms, while the
                  latest version of CPMD was tested with a large 1500-atom
                  system. Both of these quantum materials codes uncovered
                  performance limitations at larger scales. The final code was
                  a prototype multi-compartmental neuronal network simulator,
                  NestMC (JSC SimLab Neuroscience), which compared scalability
                  of different threading implementations. Detailed reports are
                  provided by each code-team, and additional comparative
                  analysis to the 28 High-Q Club member codes.},
  pages = {37-42},
  year = {2017},
  pid = {G:(DE-HGF)POF3-511 / G:(DE-HGF)POF3-513},
  pnm = {511 -- Computational Science and Mathematical Methods (POF3-511) /
       513 -- Supercomputer Facility (POF3-513)},
  series = {JSC Internal Report},
  typ = {PUB:(DE-HGF)3 / PUB:(DE-HGF)15},
  institution = {Forschungszentrum J{\"u}lich},
  url          = {http://juser.fz-juelich.de/record/828084}
}