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DTSTAMP:20260202T201258Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20251121T080000
DTEND;TZID=America/Chicago:20251121T120000
UID:submissions.supercomputing.org_SC25_sess620_post139@linklings.com
SUMMARY:Mixed Compute Environments with OpenCHAMI
DESCRIPTION:Sean Gibson, Richard Kim, Samuel Quan, Travis Cotton, and Thom
 as Mackell (Los Alamos National Laboratory (LANL))\n\nThere is a growing n
 eed for workloads that don’t follow a traditional HPC workflow. Many of th
 ese workloads are developed with Kubernetes as the workload manager rather
  than an HPC-focused one such as Slurm. Mixing different workloads present
 s a challenge for a few reasons: The demand for either type of resource ma
 y fluctuate, so static assignments of Kubernetes or Slurm as the WLM may r
 esult in idle resources; the desire for one WLM or another may increase, s
 o extra resources will need to be assigned and moved.\n\nTo address this d
 emand, we utilized OpenCHAMI, an open-source system management platform fo
 r deploying, managing, and scaling HPC clusters. With OpenCHAMI, we create
 d “spread”: a command line tool that configures nodes’ workload environmen
 ts across the cluster. We support fast node booting using kexec and a dyna
 mic base of workload environments to swap between, including Slurm and Kub
 ernetes.\n\nTag: Research & ACM SRC Posters\n\nRegistration Category: Tech
 nical Program Reg Pass\n\nSession Chairs: Kento Sato (RIKEN Center for Com
 putational Science (R-CCS)); Anja Gerbes (Georg-August-Universität Götting
 en); and Chris Schlipalius (Pawsey Supercomputing Research Centre; Commonw
 ealth Scientific and Industrial Research Organisation (CSIRO), Australia)\
 n\n
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