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DTSTART:19700308T020000
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DTSTAMP:20190719T085753Z
LOCATION:HG D 1.2
DTSTART;TZID=Europe/Stockholm:20190614T103000
DTEND;TZID=Europe/Stockholm:20190614T123000
UID:submissions.pasc-conference.org_PASC19_sess139@linklings.com
SUMMARY:MS47 - Scalable Cross-Facility Workflows: Addressing Impedance Mis
 matches between Facilities
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Emerg
 ing Application Domains, Chemistry and Materials\n\nObservational Facility
  Needs – Data Management and Analysis at the Cross-Facility Interface\n\nM
 ann\n\nWith the Swiss Light Source, the Swiss X-Ray Free-Electron Laser, a
 nd the Swiss Spallation Neutron Source, PSI operates large-scale research 
 facilities (LSRF). Progress in accelerator and detector technologies is le
 ading to a massive growth of data generated from experiments. 3D imaging a
 nd time-res...\n\n---------------------\nSynthesis Panel on Governance and
  Aligning Facility Requirements and Concerns\n\nShankar, Wells, Alam, Mann
 \n\nWe synthesize the perspectives from Experimental and Observational Fac
 ilities, Computational Facilities, and considerations of the data middlewa
 re (which acts as the connective tissue) in this synthesis panel. We discu
 ss a model for how governance across the facilities can address impedance 
 mismatch...\n\n---------------------\nData Lifecycle Across Facilities, An
 cillary Services, and Cross-Facility Workflows\n\nShankar\n\nThe dramatic 
 growth in computational horsepower, resolution and speed of detectors in i
 nstruments, and intelligence of machine-learning algorithms have substanti
 ally increased the complexity of data generation and consumption at comput
 ational, observational, and data facilities. Harnessing data nece...\n\n--
 -------------------\nComputational and Analytics Facility Needs and Co-Sch
 eduling at the Cross-Facility Interface\n\nAlam, Wells, Shankar\n\nPeering
  facilities need to address concerns of apportioning of functional service
 s that operate on data and execute computational models at each site. The 
 interface across the facilities must be “co-scheduled” to be a
 ware of the HPC capabilities, and also enable the observational data sc...
 \n
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