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DTSTAMP:20210916T132451Z
LOCATION:Mère Royaume
DTSTART;TZID=Europe/Stockholm:20210707T120000
DTEND;TZID=Europe/Stockholm:20210707T123000
UID:submissions.pasc-conference.org_PASC21_sess154_msa203@linklings.com
SUMMARY:Interleaving Simulation and Data Analysis for the Edge to Exascale
  Data Path
DESCRIPTION:Minisymposium\n\nInterleaving Simulation and Data Analysis for
  the Edge to Exascale Data Path\n\nShankar, Tourassi, Wells\n\nLarge-scale
  data science workflows and long-running and dynamically changing scientif
 ic campaigns require cross-facility data science peering, but also need in
 tra-facility peering of analytics and forward simulations. The model for e
 xecution of a scientific campaign increasingly calls for an interleaving o
 f a forward simulation and data analysis. In the case of experimental data
  analysis taking place at the edge (for reduction and staging), analysis b
 egins early in the data gathering process. The simulations that have helpe
 d design the experiment must now evaluate whether the collected data is al
 igned with the experimental plan. If not, careful reruns of the model simu
 lation must take place rapidly to more effectively use the experiment appa
 ratus. Similarly, in the case of large-scale forward HPC jobs (for modelin
 g and simulation), generated data needs to be analyzed to exploit modern a
 nalytics (Machine Learning and Deep Learning) in order to speed up, short 
 circuit, or steer various phases of the computation. The data analysis int
 erleaved with forward simulation in this case is analogous to the first ca
 se of experimental facility data being analyzed in an interleaved feedback
  loop along with simulation data. We present a life-cycle view to data ana
 lysis that requires simulation and data analysis in a workflow that connec
 ts the Oak Ridge Leadership Computing Facility (OLCF) - the largest superc
 omputing platform in the world - via an interface through ORNL’s Com
 pute and Data Environment for Science (CADES) to observational facilities 
 at ORNL including the Spallation Neutron Source and Center for Nanophase M
 aterials Science.\n\nDomain: CS and Math, Emerging Applications, Chemistry
  and Materials, Physics, Life Sciences, Engineering
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