Proof-of-Concept of a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation

Author:

Liu Banruo1ORCID,Ojewale Mubarak Adetunji2ORCID,Ding Yuhan3ORCID,Canini Marco2ORCID

Affiliation:

1. Tsinghua University and interning at KAUST

2. KAUST

3. Tsinghua University

Funder

King Abdullah University of Science and Technology (KAUST) Office of Research Administration (ORA)

Publisher

ACM

Reference18 articles.

1. DeepFlow: A Cross-Stack Pathfinding Framework for Distributed AI Systems

2. Jehyeon Bang Yujeong Choi Myeongwoo Kim Yongdeok Kim and Minsoo Rhu. 2023. vTrain: A Simulation Framework for Evaluating Cost-effective and Compute-optimal Large Language Model Training. (2023). arXiv:cs.LG/2312.12391

3. Wei Deng Junwei Pan Tian Zhou Deguang Kong Aaron Flores and Guang Lin. 2021. DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. In WSDM.

4. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT.

5. Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep Residual Learning for Image Recognition. In CVPR.

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