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Jian He

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MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU...19th USENIX Symposium on Networked Systems Design and Implementation (NSDI '22)2022-04-04
A two-month Alibaba MLaaS trace covers over 6,700 GPUs across ~1,800 nodes with 1.2M tasks, 7.5M instances and shows concrete pain points: 85% gang-scheduled…
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Panel: What’s Essential in an OSS Project Launch Playbook?KubeCon + CloudNativeCon North America 20192019-11-18
Playbook items are concrete: set a governance threshold like no more than 49% from one company so control cannot be monopolized; publish a code of conduct and…
Panel on
Co-Location of CPU and GPU Workloads with High Resource EfficiencyKubeCon + CloudNativeCon China 20192019-06-24
Co-Location of CPU and GPU Workloads with High Resource Efficiency - Penghao Cen, Ant Financial & Jian He, Alibaba Join us for KubeCon + CloudNativeCon in…
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Co-Location of CPU and GPU Workloads with High Resource EfficiencyKubeCon + CloudNativeCon + Open Source Summit China 20192019-06-24
Co-Location of CPU and GPU Workloads with High Resource Efficiency - Penghao Cen, Ant Financial & Jian He, Alibaba Users run various workloads in Kubernetes…
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A Hybrid Container Cloud With Kubernetes and Hadoop YARNKubeCon + CloudNativeCon China 20182018-11-13
Alibaba builds a colocation framework that runs Kubernetes and Hadoop YARN on one cluster, using a control plane that issues commands to per-node agents…
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