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DTSTART;TZID=America/Chicago:20251118T163700
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UID:submissions.supercomputing.org_SC25_sess171_pap234@linklings.com
SUMMARY:coMtainer: Compilation-Assisted HPC Container Images with Enhanced
  Adaptability
DESCRIPTION:Yuhao Gu, Haoquan Chen, Xianjie Chen, Jiangsu Du, Zhiguang Che
 n, Nong Xiao, Xianwei Zhang, and Yutong Lu (Sun Yat-sen University)\n\nThe
  increasing interconnectivity of HPC systems has highlighted the need for 
 efficient application migration across different environments. Containers,
  widely adopted for this purpose, simplify deployment but often fail to de
 liver optimal performance due to the separated build and execution contain
 er workflow. This leads to generic container images that miss out on syste
 m-specific software stack advantages, a challenge we define as the adaptab
 ility issue.\n\nWe propose coMtainer, a compilation-assisted image transfo
 rmation framework that embeds build-time information into images. This ena
 bles remote HPC systems to specialize and rebuild the container using nati
 ve toolchains and libraries. coMtainer preserves image neutrality while re
 solving the adaptability issue, allowing optimized execution without user 
 involvement. Moreover, the embedded metadata unlocks advanced compiler opt
 imizations such as LTO and PGO. We implement and evaluate coMtainer across
  a variety of real-world HPC applications, demonstrating coMtainer's pract
 icability, applicability, and effectiveness.\n\nTag: State of the Practice
 , System Software and Cloud Computing\n\nRecording: Livestreamed, Recorded
 \n\nRegistration Category: Technical Program Reg Pass\n\nSession Chair: Or
 cun Yildiz (Argonne National Laboratory (ANL))\n\n
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