November 13–15, 2018 - Shanghai, China
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Wednesday, November 14 • 16:20 - 16:55
Benchmarking Machine Learning Workloads on Kubeflow - Xinyuan Huang, Cisco Systems, Inc. & Ce Gao, Caicloud

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Benchmarking is an essential part in machine learning research and productization, that provides useful performance information from the perspectives of both models and systems. While Kubernetes and Kubeflow give us a great platform for ML workloads to run on, they do not automatically provide a straightforward way to perform benchmark tasks, especially for complex ML workloads based on distributed jobs. In this talk we present Kubebench, an open sourced benchmarking tool based on Kubeflow, that helps us better understand the performance signature of our ML workloads on Kubernetes through automated and consistent benchmarks. We also show how we can leverage other benchmarking efforts from academia and industry like MLPerf and 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

Technical Leader, Cisco
Xinyuan Huang is a Technical Leader at Cisco, where he leads the performance evaluations and optimizations in cloud and AI/ML systems. He is an active member in MLPerf and Kubeflow community.

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