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DTSTART;TZID=America/Denver:20231112T083000
DTEND;TZID=America/Denver:20231112T170000
UID:submissions.supercomputing.org_SC23_sess220_tut108@linklings.com
SUMMARY:Using Containers to Accelerate HPC
DESCRIPTION:Shane Canon (Lawrence Berkeley National Laboratory (LBNL)); Sa
 meer Shende (University of Oregon; ParaTools, Inc.); Eduardo Arango Gutier
 rez (NVIDIA Corporation); and Pascal Elahi (Pawsey Supercomputing Centre)\
 n\nWithin just the past few years, the use of containers has revolutionize
 d the way in which industries and enterprises have developed and deployed 
 computational software and distributed systems. The containerization model
  has gained traction within the HPC community as well with the promise of 
 improved reliability, reproducibility, portability, and levels of customiz
 ation that were not previously possible on supercomputers. This adoption h
 as been enabled by a number of HPC Container runtimes that have emerged in
 cluding Singularity, Shifter, Enroot, Charliecloud, and others.\n\nThis ha
 nds-on tutorial looks to train users on the usability of containers on HPC
  resources. We will provide a detailed background on Linux containers, alo
 ng with introductory hands-on experience building a container image, shari
 ng the container and running it on a HPC cluster. Furthermore, the tutoria
 l will provide more advanced information on how to run MPI-based and GPU-e
 nabled HPC applications, how to optimize I/O intensive workflows, and how 
 to setup GUI enabled interactive sessions. Cutting-edge examples will incl
 ude machine learning and bioinformatics. Users will leave the tutorial wit
 h a solid foundational understanding of how to utilize containers on HPC r
 esources using Podman, Shifter, and Singularity, and in-depth knowledge to
  deploy custom containers on their own resources.\n\nTag: Cloud Computing,
  Resource Management, Software Engineering\n\nRegistration Category: Tutor
 ial Reg Pass\n\n
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