Qizhen Weng

According to our database, Qizhen Weng authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

InternLM2 Technical Report.

Zheng Cai, Maosong Cao, Haojiong Chen, Kai Chen, Keyu Chen, Xin Chen, Xun Chen, Zehui Chen, Zhi Chen, Pei Chu, Xiaoyi Dong, Haodong Duan, Qi Fan, Zhaoye Fei, Yang Gao, Jiaye Ge, Chenya Gu, Yuzhe Gu, Tao Gui, Aijia Guo, Qipeng Guo, Conghui He, Yingfan Hu, Ting Huang, Tao Jiang, Penglong Jiao, Zhenjiang Jin, Zhikai Lei, Jiaxing Li, Jingwen Li, Linyang Li, Shuaibin Li, Wei Li, Yining Li, Hongwei Liu, Jiangning Liu, Jiawei Hong, Kaiwen Liu, Kuikun Liu, Xiaoran Liu, Chengqi Lv, Haijun Lv, Kai Lv, Li Ma, Runyuan Ma, Zerun Ma, Wenchang Ning, Linke Ouyang, Jiantao Qiu, Yuan Qu, Fukai Shang, Yunfan Shao, Demin Song, Zifan Song, Zhihao Sui, Peng Sun, Yu Sun, Huanze Tang, Bin Wang, Guoteng Wang, Jiaqi Wang, Jiayu Wang, Rui Wang, Yudong Wang, Ziyi Wang, Xingjian Wei, Qizhen Weng, Fan Wu, Yingtong Xiong, et al.

CoRR, 2024

CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference.

Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang

CoRR, 2024

2023

Accelerating Distributed Learning in Non-Dedicated Environments.

Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li

IEEE Trans. Cloud Comput., 2023

Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent.

Qizhen Weng, Lingyun Yang, Yinghao Yu, Wei Wang, Xiaochuan Tang, Guodong Yang, Liping Zhang

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

2022

MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters.

Qizhen Weng, Wencong Xiao, Yinghao Yu, Wei Wang, Cheng Wang, Jian He, Yong Li, Liping Zhang, Wei Lin, Yu Ding

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

Workload consolidation in alibaba clusters: the good, the bad, and the ugly.

Yongkang Zhang, Yinghao Yu, Wei Wang, Qiukai Chen, Jie Wu, Zuowei Zhang, Jiang Zhong, Tianchen Ding, Qizhen Weng, Lingyun Yang, Cheng Wang, Jian He, Guodong Yang, Liping Zhang

Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2020

Metis: learning to schedule long-running applications in shared container clusters at scale.

Luping Wang, Qizhen Weng, Wei Wang, Chen Chen, Bo Li

Proceedings of the International Conference for High Performance Computing, 2020

Semi-dynamic load balancing: efficient distributed learning in non-dedicated environments.

Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019

Towards Framework-Independent, Non-Intrusive Performance Characterization for Dataflow Computation.

Huangshi Tian, Qizhen Weng, Wei Wang

Proceedings of the 10th ACM SIGOPS Asia-Pacific Workshop on Systems, 2019

2018

OpuS: Fair and Efficient Cache Sharing for In-Memory Data Analytics.

Yinghao Yu, Wei Wang, Jun Zhang, Qizhen Weng, Khaled Ben Letaief

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Fast Distributed Deep Learning via Worker-adaptive Batch Sizing.

Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li

Proceedings of the ACM Symposium on Cloud Computing, 2018