A generic communication scheduler for distributed DNN training acceleration

Author:

Peng Yanghua1,Zhu Yibo2,Chen Yangrui3,Bao Yixin3,Yi Bairen2,Lan Chang2,Wu Chuan2,Guo Chuanxiong3

Affiliation:

1. The University of Hong Kong and ByteDance Inc.

2. ByteDance Inc.

3. The University of Hong Kong

Publisher

ACM

Reference39 articles.

1. 2019. ByteScheduler Appendix. https://www.dropbox.com/s/smoq6xd6pr7av81/bytescheduler_appendix.pdf?dl=0. 2019. ByteScheduler Appendix. https://www.dropbox.com/s/smoq6xd6pr7av81/bytescheduler_appendix.pdf?dl=0.

2. 2019. ByteScheduler Source Code. https://github.com/bytedance/byteps. 2019. ByteScheduler Source Code. https://github.com/bytedance/byteps.

3. 2019. MLPerf Training v0.6 Results. https://mlperf.org/training-results-0-6/. 2019. MLPerf Training v0.6 Results. https://mlperf.org/training-results-0-6/.

4. 2019. NVIDIA Collective Communications Library (NCCL). https://developer.nvidia.com/nccl. 2019. NVIDIA Collective Communications Library (NCCL). https://developer.nvidia.com/nccl.

5. 2019. TensorFlow Grapper. https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core/grappler. 2019. TensorFlow Grapper. https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core/grappler.

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