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TZOFFSETFROM:-0700
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DTSTART:19700308T020000
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DTSTAMP:20200129T163556Z
LOCATION:506
DTSTART;TZID=America/Denver:20191118T162000
DTEND;TZID=America/Denver:20191118T164500
UID:submissions.supercomputing.org_SC19_sess137_ws_xloop106@linklings.com
SUMMARY:Data Processing at the Linac Coherent Light Source
DESCRIPTION:Workshop\n\nData Processing at the Linac Coherent Light Source
 \n\nThayer\n\nThe increase in velocity, volume, and complexity of the data
  generated by the upcoming LCLS-II upgrade presents a considerable challen
 ge for data acquisition, data processing, and data management.  These syst
 ems face formidable challenges due to the extremely high data throughput, 
 hundreds of GB/s to multi-TB/s, generated by the detectors at the experime
 ntal facilities and to the intensive computational demand for data process
 ing and scientific interpretation.  The LCLS-II Data System offers a fast,
  powerful, and flexible architecture that includes a feature extraction la
 yer designed to reduce the data volumes by at least one order of magnitude
  while preserving the science content of the data. Innovative architecture
 s are required to implement this reduction with a configurable approach th
 at can adapt to the multiple science areas served by LCLS.  In order to in
 crease the likelihood of experiment success and improve the quality of rec
 orded data, a real-time analysis framework provides visualization and grap
 hically-configurable analysis of a selectable subset of the data on the ti
 mescale of seconds. A fast feedback layer offers dedicated processing reso
 urces to the running experiment in order to provide experimenters feedback
  about the quality of acquired data within minutes.  We will present an ov
 erview of the LCLS-II Data System architecture with an emphasis on the Dat
 a Reduction Pipeline (DRP) and online monitoring framework.\n\nTag: Worksh
 op Reg Pass, Experimental Datasets, High-fidelity Simulations, Scalable Co
 mputing\n\nRegistration Category: Workshop Reg Pass, Experimental Datasets
 , High-fidelity Simulations, Scalable Computing
URL:https://sc19.supercomputing.org/presentation/?id=ws_xloop106&sess=sess
 137
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