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Zhengda Bian
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2020 – today
- 2023
- [c3]Shenggui Li, Hongxin Liu, Zhengda Bian, Jiarui Fang, Haichen Huang, Yuliang Liu, Boxiang Wang, Yang You:
Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training. ICPP 2023: 766-775 - 2022
- [c2]Boxiang Wang, Qifan Xu, Zhengda Bian, Yang You:
Tesseract: Parallelize the Tensor Parallelism Efficiently. ICPP 2022: 12:1-12:11 - [i5]Jiarui Fang, Geng Zhang, Jiatong Han, Shenggui Li, Zhengda Bian, Yongbin Li, Jin Liu, Yang You:
A Frequency-aware Software Cache for Large Recommendation System Embeddings. CoRR abs/2208.05321 (2022) - 2021
- [c1]Zhengda Bian, Shenggui Li, Wei Wang, Yang You:
Online evolutionary batch size orchestration for scheduling deep learning workloads in GPU clusters. SC 2021: 100 - [i4]Zhengda Bian, Qifan Xu, Boxiang Wang, Yang You:
Maximizing Parallelism in Distributed Training for Huge Neural Networks. CoRR abs/2105.14450 (2021) - [i3]Boxiang Wang, Qifan Xu, Zhengda Bian, Yang You:
2.5-dimensional distributed model training. CoRR abs/2105.14500 (2021) - [i2]Zhengda Bian, Shenggui Li, Wei Wang, Yang You:
Online Evolutionary Batch Size Orchestration for Scheduling Deep Learning Workloads in GPU Clusters. CoRR abs/2108.03645 (2021) - [i1]Zhengda Bian, Hongxin Liu, Boxiang Wang, Haichen Huang, Yongbin Li, Chuanrui Wang, Fan Cui, Yang You:
Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training. CoRR abs/2110.14883 (2021) - 2020
- [j1]Hao Li, Zhengda Bian, Peng Zhang, Zhun Sun, Chengchen Hu, Qiang Fu, Tian Pan, Jia Lv:
Application-Oblivious L7 Parsing Using Recurrent Neural Networks. IEEE/ACM Trans. Netw. 28(5): 2009-2022 (2020)
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