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@INPROCEEDINGS{Fahad:894085,
      author       = {Fahad, Muhammad and Klijn, Wouter and Diaz, Sandra and
                      Sontheimer, Kim and Ingles Chavez, Rolando and
                      Jimenez-Romero, Cristian and Eppler, Jochen Martin and Oden,
                      Lena and Morrison, Abigail},
      title        = {{M}ultiscale {B}rain {C}o-simulation in the {H}uman {B}rain
                      {P}roject: {EBRAINS} tools for in-transit simulation and
                      analysis},
      reportid     = {FZJ-2021-03031},
      year         = {2021},
      abstract     = {An important capability build by The Human Brain Project
                      (HBP) is brain simulations of large- and multiscale
                      experimental and clinical data sets with integrated analysis
                      toolkits. This results in workflows with multiple components
                      to be run in parallel and in coordination with each. How to
                      develop an end-user friendly production system capable of
                      running these workflows is an open question, and introduces
                      several scientific, engineering, and execution challenges:
                      Parallel execution in a distributed environment. Data-flow
                      and transformation between different scales, as well as
                      error propagation related to the model complexity. Tolerance
                      to network isolation/failure, the identification of
                      communication/computation bottlenecks, and the growing
                      probability of the fault condition as a multiplicative
                      function of the number of applications in a workflow and
                      their individual failure probabilities. To address these
                      challenges, the multi-scale co-simulation framework, based
                      on the Modular Science approach, connects at runtime the
                      needed simulation engines, analysis tools and visualization
                      engines. The Modular Science runtime execution system
                      augments the science functionality with engineering and
                      deployment functionality providing a handle on the
                      complexity of the system. This talk will introduce the
                      multi-scale co-simulation framework and the Modular Science
                      approach to address the challenges with a focus on
                      two-driving use-cases containing a NEST model. Firstly, a
                      TVB and NEST co-simulation with dedicated transformation
                      modules connecting a spiking network with a neural mass
                      model. The second use-case is a co-simulation setup
                      connecting NEST to the multi-agent simulation environment
                      NetLogo, where a small point neuron network simulation
                      controls agents interacting in a simple world.},
      month         = {Jun},
      date          = {2021-06-28},
      organization  = {NEST Conference 2021, Virtual
                       (Virtual), 28 Jun 2021 - 29 Jun 2021},
      subtyp        = {Standard},
      cin          = {JSC / INM-6},
      cid          = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)INM-6-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / HBP SGA3 - Human
                      Brain Project Specific Grant Agreement 3 (945539) / ICEI -
                      Interactive Computing E-Infrastructure for the Human Brain
                      Project (800858) / HBP SGA2 - Human Brain Project Specific
                      Grant Agreement 2 (785907) / SLNS - SimLab Neuroscience
                      (Helmholtz-SLNS)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(EU-Grant)945539 /
                      G:(EU-Grant)800858 / G:(EU-Grant)785907 /
                      G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/894085},
}