Lobster: Load Balance-Aware I/O for Distributed DNN Training-Reference-Cited by-同舟云学术

Lobster: Load Balance-Aware I/O for Distributed DNN Training

Published:2022-08-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 51st International Conference on Parallel Processing
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Author:

Liu Jie¹,Nicolae Bogdan²,Li Dong¹

Affiliation:

1. University of California, Merced, United States of America

2. Argonne National Laboratory, United States of America

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3545008.3545090

Reference44 articles.

1. Martín Abadi , Ashish Agarwal , Paul Barham , Eugene Brevdo , Zhifeng Chen , Craig Citro , Greg S Corrado , Andy Davis , Jeffrey Dean , Matthieu Devin , 2016 . Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467(2016). Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, 2016. Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467(2016).

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3. Idan Burstein . 2021 . Nvidia Data Center Processing Unit (DPU) Architecture. In 2021 IEEE Hot Chips 33 Symposium (HCS). IEEE, 1–20 . Idan Burstein. 2021. Nvidia Data Center Processing Unit (DPU) Architecture. In 2021 IEEE Hot Chips 33 Symposium (HCS). IEEE, 1–20.

4. NV-group

5. Prediction models for multi-dimensional power-performance optimization on many cores

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