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DTSTART;TZID=America/Chicago:20251116T133000
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UID:submissions.supercomputing.org_SC25_sess271_tut158@linklings.com
SUMMARY:Orchestrating Complex HPC and AI/ML Workflows on Kubernetes Using 
 Flux and AWS
DESCRIPTION:J. Lowell Wofford (Amazon Web Services); Daniel Milroy, Vaness
 a Sochat, and Loïc Pottier (Lawrence Livermore National Laboratory (LLNL))
 ; and Evan Bollig and Timothy Brown (Amazon Web Services)\n\nScientific co
 mputing workflows are growing increasingly complex, combining diverse comp
 utational patterns, heterogeneous resources, and sophisticated dependencie
 s that challenge traditional orchestration tools. Meanwhile, cloud and AI 
 architectures are driving Kubernetes adoption for these workloads. Deployi
 ng workflow components that provide the performance and features required 
 for HPC simulations and applications remains challenging in this environme
 nt. This tutorial demonstrates a portability layer to solve this problem—i
 ntegration of the Flux Framework with Kubernetes to efficiently manage com
 plex scientific workflows on Amazon Web Services (AWS). Participants will 
 learn how Flux’s hierarchical resource management and graph-based scheduli
 ng capabilities extend Kubernetes to support diverse workflows. The tutori
 al progresses from foundational infrastructure concepts to advanced Flux c
 apabilities, culminating in deploying MuMMI (Multiscale Machine-learned Mo
 deling Infrastructure)—a scientific workflow exemplifying emerging complex
 ity through combined large-scale simulations and machine learning. Through
  lectures and hands-on labs using Amazon EKS, attendees will experience ho
 w this architecture supports demanding workflows while maintaining portabi
 lity across on-premises, cloud, and hybrid environments. Using practical e
 xamples, participants will gain applicable skills for orchestrating comple
 x workflows in various computing environments. In the end, attendees will 
 learn how to build efficient, scalable, and flexible environments for comp
 lex scientific workflows using Kubernetes, Flux, and cloud infrastructure.
 \n\nRecording: Livestreamed, Recorded\n\nRegistration Category: Tutorial R
 eg Pass\n\n
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