Towards 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 KAUST

2. KAUST

3. Tsinghua University

Funder

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

Publisher

ACM

Reference36 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. Cody Coleman Christopher Yeh Stephen Mussmann Baharan Mirzasoleiman Peter Bailis Percy Liang Jure Leskovec and Matei Zaharia. 2020. Selection via Proxy: Efficient Data Selection for Deep Learning. In ICLR.

4. 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.

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

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