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UID:submissions.pasc-conference.org_PASC24_sess132_msa162@linklings.com
SUMMARY:Advanced HPC Workflows for Urgent and Interactive Computing Using 
 Julia
DESCRIPTION:Minisymposium\n\nJohannes Blaschke (Lawrence Berkeley National
  Laboratory, NERSC)\n\nModern data-driven discovery algorithms and workflo
 ws require the tight interpretation of Simulation, Data Analysis, and AI. 
 This means that all too often modern workflows fail to mesh well with HPC 
 environments which are optimized for isolated applications over integrated
  workflows; and high utilization over fast feedback. \n\nAn example of thi
 s is real-time data analysis for experiment steering: time at large scient
 ific instruments (such as particle accelerators, electron microscopes, or 
 telescopes) is a scarce resource. Yet modern instruments often produce dat
 a at a rate that outpaces local computing resources. Therefore, scientists
  are turning to live data processing at HPC centers in order to gain the n
 ecessary insight to effectively steer their experiments.\n\nIn this talk, 
 we demonstrate how Julia’s unique language features make it a natural lang
 uage for developing tightly integrated Simulation + Analysis + AI workflow
 s. We will also show an example of a workflow that flexibly grows its pool
  of compute nodes on an HPC system, thereby overcoming the constraints of 
 the resource scheduler.\n\nDomain: Climate, Weather, and Earth Sciences, P
 hysics, Computational Methods and Applied Mathematics\n\nSession Chairs: L
 udovic Raess (University of Lausanne, ETH Zurich); Samuel Omlin (ETH Zuric
 h / CSCS); and Michael Schlottke-Lakemper (University of Augsburg)
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