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DTSTART;TZID=America/New_York:20241118T083000
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UID:submissions.supercomputing.org_SC24_sess405_tut110@linklings.com
SUMMARY:Using Containers to Accelerate HPC
DESCRIPTION:Richard Canon (Lawrence Berkeley National Laboratory (LBNL)); 
 Eduardo Arango Gutierrez (NVIDIA Corporation, Deep Learning Institute); Sa
 meer Shende (University of Oregon; ParaTools, Inc.); Mehaboob Basha Nagthe
  Basapur (Pawsey Supercomputing Research Centre); and Andrew Younge (Sandi
 a National Laboratories)\n\nThe use of containers has revolutionized the w
 ay in which industries and enterprises have developed and deployed computa
 tional software and distributed systems. This containerization model has g
 ained traction within the HPC community as well, with the promise of impro
 ved reliability, reproducibility, portability, and levels of customization
  that were not previously possible on supercomputers. This adoption has be
 en enabled by a number of HPC Container runtimes that have emerged includi
 ng Singularity, Shifter, Sarus, Podman and others.\nThis hands-on tutorial
  looks to train users on the use of containers for HPC use-cases. We will 
 provide a detailed background on Linux containers, along with an introduct
 ory hands-on experience building a container image, sharing the container 
 and running it on an HPC cluster. Furthermore, the tutorial will provide m
 ore advanced information on how to run MPI-based and GPU-enabled HPC appli
 cations, how to optimize I/O intensive workflows, and how to setup GUI- en
 abled interactive sessions. Cutting-edge examples will include machine lea
 rning and bioinformatics. Users will leave the tutorial with a solid found
 ational understanding of how to utilize containers on HPC resources using 
 Podman, Shifter and Singularity, and in-depth knowledge to deploy custom c
 ontainers on their own resources.\n\nTag: Artificial Intelligence/Machine 
 Learning, Portability\n\nRegistration Category: Tutorial Reg Pass\n\n
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