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DTSTAMP:20260422T000713Z
LOCATION:607
DTSTART;TZID=America/Denver:20231113T091000
DTEND;TZID=America/Denver:20231113T093500
UID:submissions.supercomputing.org_SC23_sess448_ws_canopie107@linklings.co
 m
SUMMARY:Survey of Adaptive Containerization Architectures for HPC
DESCRIPTION:Nina Mujkanovic (HPE HPC/AI EMEA Research Lab (ERL), Switzerla
 nd); Juan J. Durillo and Nicolay J. Hammer (Leibniz Supercomputing Centre)
 ; and Tiziano Müller (HPE HPC/AI EMEA Research Lab (ERL), Switzerland)\n\n
 Containers offer an array of advantages that benefit research reproducibil
 ity and portability. As container tools mature, container security improve
 s, and high-performance computing (HPC) and cloud system tools converge, s
 upercomputing centers are increasingly integrating containers into their w
 orkflows. Despite this, most research into containers remains focused on c
 loud environments.\n\nWe consider an adaptive containerization architectur
 e approach, in which each component chosen represents the tool best adapte
 d to the given system and site requirements, with a focus on accelerating 
 the deployment of applications and workflows on HPC systems using containe
 rs. To this end, we discuss the HPC specific requirements regarding contai
 ner tools, and analyze the entire containerization stack, including contai
 ner engines and registries, in-depth. Finally, we consider various orchest
 rator and HPC workload manager integration scenarios, including Workload M
 anager (WLM) in Kubernetes, Kubernetes in WLM, and bridged scenarios. We p
 resent a proof-of-concept approach to a Kubernetes Agent in a WLM allocati
 on.\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Richard
  Shane Canon (Lawrence Berkeley National Laboratory (LBNL)); Alberto Madon
 na (ETH Zürich, Swiss National Supercomputing Centre (CSCS)); Laurie A. St
 ephey (Lawrence Berkeley National Laboratory (LBNL), National Energy Resea
 rch Scientific Computing Center (NERSC)); and Andrew Younge (Sandia Nation
 al Laboratories)\n\n
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