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Jiaao He
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Journal Articles
- 2021
- [j2]Chen Zhang, Chenggang Zhao, Jiaao He, Shengqi Chen, Liyan Zheng, Kezhao Huang, Wentao Han, Jidong Zhai:
Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From Tsinghua University. IEEE Trans. Parallel Distributed Syst. 32(11): 2631-2634 (2021) - 2019
- [j1]Jiaao He, Chenggang Zhao, Jiping Yu, Xinjian Yu, Liyan Zheng, Chenyao Lou, Shizhi Tang, Wentao Han, Jidong Zhai:
Student Cluster Competition 2018, Team Tsinghua University: Reproducing performance of multi-physics simulations of the Tsunamigenic 2004 Sumatra megathrust earthquake on the Intel Skylake Architecture. Parallel Comput. 90 (2019)
Conference and Workshop Papers
- 2024
- [c6]Jiaao He, Shengqi Chen, Jidong Zhai:
POSTER: Pattern-Aware Sparse Communication for Scalable Recommendation Model Training. PPoPP 2024: 466-468 - 2023
- [c5]Mingshu Zhai, Jiaao He, Zixuan Ma, Zan Zong, Runqing Zhang, Jidong Zhai:
SmartMoE: Efficiently Training Sparsely-Activated Models through Combining Offline and Online Parallelization. USENIX ATC 2023: 961-975 - 2022
- [c4]Zixuan Ma, Haojie Wang, Guanyu Feng, Chen Zhang, Lei Xie, Jiaao He, Shengqi Chen, Jidong Zhai:
Efficiently emulating high-bitwidth computation with low-bitwidth hardware. ICS 2022: 5:1-5:12 - [c3]Jiaao He, Jidong Zhai, Tiago Antunes, Haojie Wang, Fuwen Luo, Shangfeng Shi, Qin Li:
FasterMoE: modeling and optimizing training of large-scale dynamic pre-trained models. PPoPP 2022: 120-134 - [c2]Zixuan Ma, Jiaao He, Jiezhong Qiu, Huanqi Cao, Yuanwei Wang, Zhenbo Sun, Liyan Zheng, Haojie Wang, Shizhi Tang, Tianyu Zheng, Junyang Lin, Guanyu Feng, Zeqiang Huang, Jie Gao, Aohan Zeng, Jianwei Zhang, Runxin Zhong, Tianhui Shi, Sha Liu, Weimin Zheng, Jie Tang, Hongxia Yang, Xin Liu, Jidong Zhai, Wenguang Chen:
BaGuaLu: targeting brain scale pretrained models with over 37 million cores. PPoPP 2022: 192-204 - 2020
- [c1]Qinyi Luo, Jiaao He, Youwei Zhuo, Xuehai Qian:
Prague: High-Performance Heterogeneity-Aware Asynchronous Decentralized Training. ASPLOS 2020: 401-416
Informal and Other Publications
- 2024
- [i3]Jiaao He, Jidong Zhai:
FastDecode: High-Throughput GPU-Efficient LLM Serving using Heterogeneous Pipelines. CoRR abs/2403.11421 (2024) - 2021
- [i2]Jiaao He, Jiezhong Qiu, Aohan Zeng, Zhilin Yang, Jidong Zhai, Jie Tang:
FastMoE: A Fast Mixture-of-Expert Training System. CoRR abs/2103.13262 (2021) - 2019
- [i1]Qinyi Luo, Jiaao He, Youwei Zhuo, Xuehai Qian:
Heterogeneity-Aware Asynchronous Decentralized Training. CoRR abs/1909.08029 (2019)
Coauthor Index
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