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DTSTART;TZID=America/Denver:20231113T133000
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UID:submissions.supercomputing.org_SC23_sess233_tut126@linklings.com
SUMMARY:Scientific Computing with Kubernetes
DESCRIPTION:Mahidhar Tatineni and Dmitry Mishin (San Diego Supercomputer C
 enter (SDSC)) and Sajesh Singh (American Museum of Natural History)\n\nKub
 ernetes has emerged as the leading container orchestration solution that w
 orks on resources ranging from on-prem clusters to commercial clouds. Deve
 loped at Google, now maintained by Cloud Native Foundation, it sports a di
 verse and active development community. At SDSC Kubernetes capabilities ar
 e available on Expanse, Voyager, and Prototype National Research Platform 
 (PNRP) Nautilus (multi-site distributed resource) clusters. The ability to
  run services in Kubernetes enables execution of non-traditional workloads
 . This can enable some complex scientific workflows to be run that are dif
 ficult to handle through traditional batch scheduling on HPC clusters.\n\n
 Kubernetes does not have a traditional batch interface, but the concepts a
 re similar enough to allow for porting of existing batch-focused workloads
  to it. Users can customize their software environment in containers. Kube
 rnetes provides significantly richer semantics, including explicit storage
  and network provisioning, that allow execution of scientific computing wo
 rkflows typically not feasible on batch systems. \n\nIn this tutorial, the
  attendees will get an overview of the Kubernetes architecture, typical jo
 b and workflow submission procedures, learn how to use various storage opt
 ions, and will learn how to run their software using Kubernetes. Theoretic
 al information will be paired with hands-on sessions operating on the PNRP
  production Kubernetes cluster Nautilus.\n\nTag: Applications, Cloud Compu
 ting, Performance Measurement, Modeling, and Tools\n\nRegistration Categor
 y: Tutorial Reg Pass\n\n
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