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Kubernetes Batch + HPC Day Europe 2022

register explore the schedule VIEW ATTENDEE GUIDE That’s a wrap on Kubernetes Batch + HPC Day at KubeCon + CloudNativeCon EU 2022! Thank you to all the attendees, sponsors and speakers that joined us…

Kubernetes platform engineers, cloud operators, HPC engineers, machine learning engineers, data engineers, cluster operators, research computing managers

GKE custom autoscaler; GPU slicing and orchestration; Kueue Queue and ClusterQueue; NodeResourceTopology NUMA support; topology-aware scheduler plugin; Volcano batch system features; CRI Resource Manager for CPU pinning; Apache Pulsar tiered storage pipelines; Ludwig AutoML with Ray autoscaling; YuniKorn scheduler plugin and hierarchies

titleauthorlength
Opening + WelcomeAbdullah Gharaibeh, Ricardo Rocha06m
Half-day program running until 5 pm with a Google Cloud keynote, five 25-minute sessions and three lightning talks, focused on making Kubernetes a better…
Organiser at Room 4F | Event Center on
Keynote: High Performance Computing on Google Kubernetes EngineMaciek Różacki07m
Google claims GKE runs production HPC at scale, supporting clusters up to ~45,000 nodes and shipping a custom autoscaler that optimizes for customer cost. The…
Talk at Room 4F | Event Center on
Kueue: A Kubernetes-native Job QueueingAbdullah Gharaibeh35m
Kueue is a Kubernetes-native queuing controller that actually enforces job-level admission using the existing batch/v1 Job API: it introduces Queue (namespace…
Talk at Room 4F | Event Center on
Resource Orchestration of HPC on Kubernetes: Where We Are Now and the Journey Ahead!Swati Sehgal, Francesco Romani26m
A NUMA-aware system is implemented: a NodeResourceTopology CRD plus a node agent (NFD topology updater or custom resource topology exporter) and a…
Talk at Room 4F | Event Center on
Volcano – Cloud Native Batch System for AI, BigData and HPCWilliam (LeiBo) Wang24m
Cloud-native batch system that adds job-level lifecycle, multi-pod templates and queue decoupled from namespaces to Kubernetes, with concrete integrations for…
Talk at Room 4F | Event Center on
Get More Computing Power by Helping the OS SchedulerAntti Kervinen, Alexander Kanevskiy20m
Adds CRI Resource Manager (CRI‑RM) to nodes to take over CPU and memory pinning via the CRI host manager, replacing direct kubelet→container runtime calls and…
Talk at Room 4F | Event Center on
Fast Data on-Ramp with Apache Pulsar on K8Timothy J Spann14m
Shows an actual NiFi -> Pulsar pipeline that ingests REST and database sources with no code, pushes them into Pulsar topics, runs lightweight Pulsar functions…
Talk at Room 4F | Event Center on
How to Handle Fair Scheduling in a Private Academic K8s infrastructureLukáš Hejtmánek, Dalibor Klusacek07m
CERIT-SC runs a single multi-tenant Kubernetes cluster with 2,500 CPU cores, 130 users, ~1,000 pods/day alongside an HPC system of 30,000 CPU cores, 3,000…
Talk at Room 4F | Event Center on
Efficient Deep Learning Training with Ludwig AutoML, Ray, and Nodeless KubernetesAnne Marie Holler, Travis Addair28m
Runs Ludwig AutoML and Ray on Kubernetes with Nodeless K8s (Luna) to provision just‑in‑time GPUs, replacing a fixed three‑node g4dn.4xlarge Ray cluster…
Talk at Room 4F | Event Center on
Apache YuniKorn A Kubernetes Scheduler Plugin for Batch WorkloadsWilfred Spiegelenburg, Craig Condit30m
Apache YuniKorn graduates to an Apache top-level project and offers a new plugin execution mode that runs YuniKorn as scheduler plugins to the default…
Talk at Room 4F | Event Center on
ClosingAldo Culquicondor03m
Conference closes with an update: the kubernetes working group is new but meets every other week with active contributors and maintains a Slack channel and…
Talk at Room 4F | Event Center on
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