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DTSTAMP:20211207T055409Z
LOCATION:240-241-242
DTSTART;TZID=America/Chicago:20211119T112000
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UID:submissions.supercomputing.org_SC21_sess337_ws_urgent103@linklings.com
SUMMARY:Experiences with Cross-Facility Real-Time Light Source Data Analys
 is Workflows
DESCRIPTION:Workshop\n\nExperiences with Cross-Facility Real-Time Light So
 urce Data Analysis Workflows\n\nGiannakou, Blaschke, Bard, Ramakrishnan\n\
 nWe are seeing a growth in scientific data from experimental and observati
 onal facilities that are resulting in significant new computational patter
 ns and needs. For example, scientists running experiments at light Sources
 , often analyses workflows require near real-time access to compute resour
 ces in order to obtain results used for re-configuring on-going experiment
 s. These workflows often have requirements that are different from the tra
 ditional large-scale parallel applications that have traditionally run at 
 HPC centers. In this presentation, we present our experiences supporting t
 wo light source data analysis workflows that run on HPC resources at Natio
 nal Energy Research Scientific Computing Center. We discuss the characteri
 stics of workflows, runtime requirements and associated execution challeng
 es when running on HPC environments. We present a discussion that address 
 execution challenges and current and future solutions for leveraging HPC r
 esources for near real-time data analysis.\n\nTag: Applications, Big Data,
  Computational Science, Data Analytics, Emerging Technologies, Extreme Sca
 le Computing, Machine Learning and Artificial Intelligence\n\nRegistration
  Category: Workshop Reg Pass
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