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Who cites «Horovod: fast and easy distributed deep learning in TensorFlow»

223 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · ← back to «Horovod: fast and easy distributed deep learning in TensorFlow»

  1. HybridFlow: A Flexible and Efficient RLHF FrameworkarXiv:2409.19256Guangming Sheng, Chi Zhang, Zilingfeng Ye, et al.2024 · 624 citations
  2. PyTorch Distributed: Experiences on Accelerating Data Parallel TrainingarXiv:2006.15704Shen Li, Yanli Zhao, Rohan Varma, et al.2020 · 348 citations
  3. Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four MinutesarXiv:1807.11205Xianyan Jia, Shutao Song, Wei He, et al.2018 · 348 citations
  4. Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep LearningOSDI 2022Lianmin Zheng, Zhuohan Li, Hao Zhang, et al.2022 · 279 citations
  5. Ring Attention with Blockwise Transformers for Near-Infinite ContextarXiv:2310.01889Hao Liu, Matei Zaharia, Pieter Abbeel2023 · 212 citations
  6. Tutel: Adaptive Mixture-of-Experts at ScaleMLSys 2023Changho Hwang, Wei Cui, Yifan Xiong, et al.2022 · 168 citations
  7. DAPPLE: A Pipelined Data Parallel Approach for Training Large ModelsarXiv:2007.01045Shiqing Fan, Yi Rong, Chen Meng, et al.2020 · 107 citations
  8. ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2112.12731Shuohuan Wang, Yu Sun, Yang Xiang, et al.2021 · 63 citations
  9. JABER and SABER: Junior and Senior Arabic BERtarXiv:2112.04329Abbas Ghaddar, Yimeng Wu, Ahmad Rashid, et al.2021 · 16 citations
  10. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language UnderstandingarXiv:2205.10687Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 9 citations

211 more papers of our library cite it; they have no page here yet.

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