Zhongzhe Hu

According to our database, Zhongzhe Hu authored at least 9 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Relay Buffer Independent Communication over Pooled HBM for Efficient MoE Inference on Ascend.

Tianlun Hu, Tiancheng Hu, Shengsheng Litang, Sheng Wang, Xiaoming Bao, Yuxing Li, Wei Wang, Zhongzhe Hu, Lijun Li, Hongwei Sun, Jingbin Zhou

CoRR, May, 2026

ENEC: A Lossless AI Model Compression Method Enabling Fast Inference on Ascend NPUs.

Jinwu Yang, Jiaan Wu, Zedong Liu, Xinyang Ma, Hairui Zhao, Yida Gu, Yuanhong Huang, Xingchen Liu, Wenjing Huang, Zheng Wei, Jing Xing, Yili Ma, Qingyi Zhang, Baoyi An, Zhongzhe Hu, Shaoteng Liu, Xia Zhu, Jiaxun Lu, Guangming Tan, Dingwen Tao

CoRR, April, 2026

EPLoN: Exploiting Efficient Parallelism with Selective Rematerialization for Lightning Attention on Ascend NPU.

Han Bao, Zhenfeng Su, Alexander Setyaev, Stanislav Kamenev, Alexander Gneushev, Kang Zhao, Junmin Xiao, Haoran Lin, Anastasiya Bistrigova, Sergey Buzykanov, Evgeny Tetin, Guangming Tan, Boxiao Liu, Xueyi Zou, Zhenhua Dong, Constantine Korikov, Xianzhi Yu, Zhongzhe Hu

Proceedings of the 40th ACM International Conference on Supercomputing, 2026

2025

Hypertron: Efficiently Scaling Large Models by Exploring High-Dimensional Parallelization Space.

Shigang Li, Jingkun Dong, Jihao Chen, Zhi Ma, Zhongzhe Hu

Proceedings of the International Conference for High Performance Computing, 2025

2024

ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling.

Shaohuai Shi, Xinglin Pan, Qiang Wang, Chengjian Liu, Xiaozhe Ren, Zhongzhe Hu, Yu Yang, Bo Li, Xiaowen Chu

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2022

Fast and accurate variable batch size convolution neural network training on large scale distributed systems.

Zhongzhe Hu, Junmin Xiao, Ninghui Sun, Guangming Tan

Concurr. Comput. Pract. Exp., 2022

MegTaiChi: dynamic tensor-based memory management optimization for DNN training.

Zhongzhe Hu, Junmin Xiao, Zheye Deng, Mingyi Li, Kewei Zhang, Xiaoyang Zhang, Ke Meng, Ninghui Sun, Guangming Tan

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

2019

Tensor Layout Optimization of Convolution for Inference on Digital Signal Processor.

Xiaoyang Zhang, Junmin Xiao, Xiaobin Zhang, Zhongzhe Hu, Hongrui Zhu, Zhongbo Tian, Guangming Tan

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

A Variable Batch Size Strategy for Large Scale Distributed DNN Training.

Zhongzhe Hu, Junmin Xiao, Zhongbo Tian, Xiaoyang Zhang, Hongrui Zhu, Chengji Yao, Ninghui Sun, Guangming Tan

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019