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May 5-8, 2025
Chicago, IL
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Thursday May 8, 2025 1:35pm - 1:55pm CDT
Kubernetes automates container deployment and management across environments. HPC users can benefit from Kubernetes to support the increasing demand for novel workflows, especially in AI. Kubernetes' declarative approach allows users to schedule, scale, and maintain metrics on containers while supporting multiple container runtimes. Charliecloud can enhance HPC workloads when integrated with Kubernetes. However, Kubernetes only supports container runtimes that implement the Container Runtime Interface (CRI), which Charliecloud does not. To address this, we developed a prototype CRI-compatible server for Charliecloud, allowing Kubernetes to manage pods and to create, start, and track Charliecloud containers. Despite Kubernetes expecting certain features that Charliecloud does not use, such as network namespaces, we show that the two systems can still communicate effectively. Our implementation requires 700 lines of new code, fewer than 50 lines of modification to Charliecloud, and no changes to Kubernetes. This demonstrates that Kubernetes and Charliecloud are compatible tools, advancing scientific workflows that require large compute power.

LA-UR-24-28252
Speakers
AL

Angelica Loshak

Student, Los Alamos National Laboratory
Thursday May 8, 2025 1:35pm - 1:55pm CDT
Illinois River

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