Jiaao He

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Citations	202	202
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Jidong ZhaiTsinghua UniversityVerified email at tsinghua.edu.cn
Haojie WangTsinghua UniversityVerified email at tsinghua.edu.cn
Jiezhong QiuZhejiang University - Zhejiang Lab Hundred Talents Program ResearcherVerified email at zhejianglab.com
Aohan ZengTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Tang JieProfessor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Zixuan MaTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Qinyi LuoUniversity of Southern CaliforniaVerified email at usc.edu
Xuehai QianPurdue UniversityVerified email at purdue.edu
Tiago AntunesGraduate Researcher, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Chen ZhangTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Shengqi ChenDepartment of Computer Science and Technology, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Jiping YuTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Chenyao LouTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Chenggang ZhaoTsinghua University / DeepSeek AI

Jiaao He

Tsinghua University

Verified email at mails.tsinghua.edu.cn - Homepage

Parallel Distributed Computing Sparsity


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Prague: High-performance heterogeneity-aware asynchronous decentralized training Q Luo, J He, Y Zhuo, X Qian Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020	69	2020
Fastmoe: A fast mixture-of-expert training system J He, J Qiu, A Zeng, Z Yang, J Zhai, J Tang arXiv preprint arXiv:2103.13262, 2021	55	2021
BaGuaLu: targeting brain scale pretrained models with over 37 million cores Z Ma, J He, J Qiu, H Cao, Y Wang, Z Sun, L Zheng, H Wang, S Tang, ... Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of …, 2022	34	2022
Fastermoe: modeling and optimizing training of large-scale dynamic pre-trained models J He, J Zhai, T Antunes, H Wang, F Luo, S Shi, Q Li Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of …, 2022	33	2022
SmartMoE: Efficiently Training Sparsely-Activated Models through Combining Offline and Online Parallelization M Zhai, J He, Z Ma, Z Zong, R Zhang, J Zhai 2023 USENIX Annual Technical Conference (USENIX ATC 23), 961-975, 2023	8	2023
Critique of “Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility” by SCC Team From Tsinghua University C Zhang, C Zhao, J He, S Chen, L Zheng, K Huang, W Han, J Zhai IEEE Transactions on Parallel and Distributed Systems 32 (11), 2631-2634, 2021	2	2021
Efficiently emulating high-bitwidth computation with low-bitwidth hardware Z Ma, H Wang, G Feng, C Zhang, L Xie, J He, S Chen, J Zhai Proceedings of the 36th ACM International Conference on Supercomputing, 1-12, 2022	1	2022
FastDecode: High-Throughput GPU-Efficient LLM Serving using Heterogeneous Pipelines J He, J Zhai arXiv preprint arXiv:2403.11421, 2024		2024
POSTER: Pattern-Aware Sparse Communication for Scalable Recommendation Model Training J He, S Chen, J Zhai Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and …, 2024		2024
Student Cluster Competition 2018, Team Tsinghua University: Reproducing performance of multi-physics simulations of the Tsunamigenic 2004 Sumatra megathrust earthquake on the … J He, C Zhao, J Yu, X Yu, L Zheng, C Lou, S Tang, W Han, J Zhai Parallel Computing 90, 102570, 2019		2019

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