KubeCon + CloudNativeCon 2018 中国论坛 has ended

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Wednesday, November 14 • 16:20 - 16:55
对 Kubeflow 上的机器学习工作负载做基准测试——Xinyuan Huang,思科系统有限公司和 Ce Gao,才云科技

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基准测试是机器学习研究和产品化的重要部分,其从模型和系统的角度提供有用的性能信息。尽管 Kubernetes 和 Kubeflow 为我们提供了让 ML 工作量运行的重要平台,他们并没有自动的提供执行基准任务的直接方式,特别是针对基于分布式任务的复杂 ML 工作量。在本次演讲中我们介绍基于 Kubeflow 的开源基准化工具 Kubebench,其帮助我们通过自动化和一致的规范,更好的理解 Kubernetes 上的 ML 工作量的性能特征。我们还说明我们可以怎样利用来自学术界和工业界的其他基准化成就,如 MLPerf 和 Dawnbench。

avatar for Ce Gao

Ce Gao

Engineer Intern 实习工程师, Caicloud
Ce Gao is an engineer intern in Caicloud and a maintainer of Kubeflow project focusing on distributed training and AutoML support on Kubernetes. He is currently pursuing the post-graduation degree with the School of Software, Shanghai Jiao Tong University, China. | | Ce Gao... Read More →
avatar for Xinyuan Huang

Xinyuan Huang

Sr. Software Engineer 高级软件工程师, Cisco Systems, Inc.
Xinyuan Huang is a Sr. Software Engineer at Cisco. He holds a Master's degree in Machine Learning. His interests include resource and performance optimizations in Cloud and AI systems, AI/ML platforms and applications, etc. He is an active member in the Kubeflow community where he... Read More →

Wednesday November 14, 2018 16:20 - 16:55
2F Room 1
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