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DTSTART:19700308T020000
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DTSTAMP:20210402T160553Z
LOCATION:Track 7
DTSTART;TZID=America/New_York:20201117T130000
DTEND;TZID=America/New_York:20201117T143000
UID:submissions.supercomputing.org_SC20_sess286@linklings.com
SUMMARY:HPC in the Cloud
DESCRIPTION:State of the Practice Talk\n\nRapid Re-Purposing: How the Fore
 sight to Replicate Their HPC Cluster in the Cloud Fueled the University of
  Liverpool’s COVID-19 Research\n\nZheng, Bridge, Meng, Addison, Wang...\n\
 nThe Advanced Research Computing team at the University of Liverpool creat
 ed a mission-critical cloud replica of their on-premises HPC cluster, name
 d Cloud Barkla, to function as a rapid-deployment service in October, 2019
 .  Originally deployed to assist the relocation of their on-premises clust
 er, t...\n\n---------------------\nCurrent and Future Converged Cloud-HPC 
 Workflows at LLNL\n\nMilroy, Herbein, Ahn\n\nCurrent and emerging scientif
 ic workflows at the Lawrence Livermore National Laboratory (LLNL) require 
 the integration of cloud technologies with traditional HPC to make discove
 ries.  In this talk, we present prominent workflow examples, trends in the
 se converged workflows and gaps that they face at...\n\n------------------
 ---\nLessons Learned from Massively Parallel Model of Ventilator Splitting
 \n\nKaplan, Kneifel, Orlikowski, Dorff, Newton...\n\nThere has been a pres
 sing need for an expansion of the ventilator capacity in response to the r
 ecent COVID19 pandemic. To help address this need, a patient-specific airf
 low simulation was developed to support clinical decision-making for effic
 acious and safe splitting of a ventilator among two or mo...\n\n\nTag: Bes
 t Practices, Cloud and Distributed Computing\n\nRegistration Category: Tec
 h Program Reg Pass
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