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X-LIC-LOCATION:America/Chicago
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TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20230124T171524Z
LOCATION:D174
DTSTART;TZID=America/Chicago:20221113T083000
DTEND;TZID=America/Chicago:20221113T170000
UID:submissions.supercomputing.org_SC22_sess201_tut111@linklings.com
SUMMARY:Using Containers to Accelerate HPC
DESCRIPTION:Tutorial\n\nUsing Containers to Accelerate HPC\n\nCanon, Arang
 o Gutierrez, Shende, Espinosa, Cytowski...\n\nWithin just the past few yea
 rs, the use of containers has revolutionized the way in which industries a
 nd enterprises have developed and deployed computational software and dist
 ributed systems. The containerization model has gained traction within the
  HPC community as well with the promise of improved reliability, reproduci
 bility, portability, and levels of customization that were not previously 
 possible on supercomputers. This adoption has been enabled by a number of 
 HPC Container runtimes that have emerged including Singularity, Shifter, E
 nroot, Charliecloud, and others.\n\nThis hands-on tutorial looks to train 
 users on the usability of containers on HPC resources. We will provide a d
 etailed background on Linux containers, along with introductory hands-on e
 xperience building a container image, sharing the container and running it
  on a HPC cluster. Furthermore, the tutorial will provide more advanced in
 formation on how to run MPI-based and GPU-enabled HPC applications, how to
  optimize I/O intensive workflows, and how to setup GUI enabled interactiv
 e sessions. Cutting-edge examples will include machine learning and bioinf
 ormatics. Users will leave the tutorial with a solid foundational understa
 nding of how to utilize containers on HPC resources using Podman, Shifter,
  and Singularity, and in-depth knowledge to deploy custom containers on th
 eir own resources.\n\nSession Format: Recorded\n\nTag: Cloud and Distribut
 ed Computing, Containers, Productivity Tools, Resource Management and Sche
 duling, Software Engineering, Workflows\n\nRegistration Category: Tutorial
  Reg Pass
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