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DTSTAMP:20260522T150127Z
LOCATION:D171
DTSTART;TZID=America/Chicago:20181113T153000
DTEND;TZID=America/Chicago:20181113T160000
UID:submissions.supercomputing.org_SC18_sess269_exforum116@linklings.com
SUMMARY:Simplifying HPC Data Management at Scale
DESCRIPTION:John Leonardini (Komprise)\n\nThe rapid growth of HPC data nec
 essitates a multi-layer storage strategy to get the best performance and d
 ata protection while cutting costs.  Since a bulk of data becomes inactive
  or cold soon after its created, Komprise Intelligent Data Management enab
 les HPC institutions to analyze data across multi-vendor storage and by po
 licy move cold data to lower cost storage and data protection models throu
 gh its lifecycle, without any changes to user or application access.   Thi
 s talk describes how Komprise uses a distributed scale-out architecture bu
 ilt on open protocols to work across a variety of on premise and cloud sto
 rage and transparently preserve the original namespace of data without fro
 nting all data or metadata access, so there is no user disruption yet no l
 ock-in.  HPC use cases of how research institutes have leveraged data life
 cycle management to cut 70%+ of costs will also be presented.\n\nTag: Data
  Management, System Software, Workflows\n\nSession Chair: Rebecca Hartman-
 Baker (National Energy Research Scientific Computing Center (NERSC), Lawre
 nce Berkeley National Laboratory (LBNL))\n\n
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