Scheduling Distributed Deep Learning Jobs in Heterogeneous Cluster with Placement Awareness-Reference-Cited by-同舟云学术

Scheduling Distributed Deep Learning Jobs in Heterogeneous Cluster with Placement Awareness

Published:2020-11 Issue: Volume: Page:
ISSN:
Container-title:12th Asia-Pacific Symposium on Internetware
language:
Short-container-title:

Author:

Li Qingping¹,Xu Jingwei²,Cao Chun²

Affiliation:

1. Sensetime, CN

2. Nanjing University, CN

Funder

Guangdong Key R&D Project

Collaborative Innovation Center of Novel Software Technology and Industrialization

Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3457913.3457936

Reference40 articles.

1. [n.d.]. Baidu ring all reduce. https://github.com/baidu-research/baidu-allreduce. ([n. d.]). https://github.com/baidu-research/baidu-allreduce. [n.d.]. Baidu ring all reduce. https://github.com/baidu-research/baidu-allreduce. ([n. d.]). https://github.com/baidu-research/baidu-allreduce.

2. [n.d.]. Kubeflow. https://www.kubeflow.org/. ([n. d.]). https://www.kubeflow.org/. [n.d.]. Kubeflow. https://www.kubeflow.org/. ([n. d.]). https://www.kubeflow.org/.

3. [n.d.]. Kubernetes. https://kubernetes.io/. ([n. d.]). https://kubernetes.io/. [n.d.]. Kubernetes. https://kubernetes.io/. ([n. d.]). https://kubernetes.io/.

4. [n.d.]. Tensorflow benchmarks. https://github.com/tensorflow/benchmarks. ([n. d.]). https://github.com/tensorflow/benchmarks. [n.d.]. Tensorflow benchmarks. https://github.com/tensorflow/benchmarks. ([n. d.]). https://github.com/tensorflow/benchmarks.

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