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DTSTART;TZID=America/New_York:20241117T091500
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UID:submissions.supercomputing.org_SC24_sess732_misc217@linklings.com
SUMMARY:Slinky: The Missing Link Between Slurm and Kubernetes
DESCRIPTION:Tim Wickberg and Skyler Malinowski (SchedMD LLC)\n\nAI and ML 
 engineers are often unfamiliar with traditional HPC environments. They rel
 y on cloud native systems like Kubernetes to abstract complex system manag
 ement. These platforms lack the fine-grained resource control and advanced
  scheduling features crucial for HPC/AI/ML workloads. Slurm, an open-sourc
 e HPC workload manager, excels in allocating resources, managing parallel 
 jobs, and handling task queues for workloads. In this talk, we introduce o
 ur new project, Slinky, which bridges the gap between HPC and cloud native
  worlds by running Slurm in Kubernetes. By combining Slurm's robust capabi
 lities with the Kubernetes user-friendly interface, Slinky creates a power
 ful solution; it delivers HPC-level performance and scheduling within an a
 ccessible cloud native platform. This integration empowers AI and ML engin
 eers to harness the full potential of their resources without requiring ex
 tensive systems expertise.\n\nTag: Cloud Computing, Middleware and System 
 Software, State of the Practice\n\nRegistration Category: Workshop Reg Pas
 s\n\nSession Chairs: Richard Shane Canon (Lawrence Berkeley National Labor
 atory (LBNL)); Alberto Madonna (ETH Zürich, Swiss National Supercomputing 
 Centre (CSCS)); Claudia Misale (CoreWeave, Inc.); and Andrew Younge (Sandi
 a National Laboratories)\n\n
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