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DTSTAMP:20260422T000711Z
LOCATION:607
DTSTART;TZID=America/Denver:20231115T171500
DTEND;TZID=America/Denver:20231115T184500
UID:submissions.supercomputing.org_SC23_sess392_bof131@linklings.com
SUMMARY:DAOS Storage Community BoF
DESCRIPTION:Michael Hennecke (Intel Corporation), Kevin Harms (Argonne Nat
 ional Laboratory (ANL)), Dean Hildebrand (Google Cloud), and László Szűcs 
 (Leibniz Supercomputing Centre)\n\nDAOS (https://docs.daos.io/) is an open
 -source scale-out object store that delivers extremely high performance to
  the most data-intensive HPC/AI workloads. With growing adoption, DAOS has
  seen significant community contributions like domain-specific container t
 ypes, additional hardware support beyond x86_64 (e.g. ARM64), and enabling
  DAOS in the cloud. \n\nThis BoF brings together the DAOS community to dis
 cuss, share experiences, and brainstorm on future enhancements of DAOS. To
 pics include practical experiences with on-prem and cloud deployments, app
 lication use cases, and the software roadmap. This session targets end use
 rs, middleware developers, system administrators, DAOS core software devel
 opers, and vendors of DAOS-based hardware/software/cloud offerings.\n\nTag
 : Data Analysis, Visualization, and Storage\n\nRegistration Category: Tech
  Program Reg Pass, Exhibits Reg Pass\n\n
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