@article{li2024caraserve,title={CaraServe: CPU-Assisted and Rank-Aware {LoRA} Serving for Generative {LLM} Inference},author={Li, Suyi and Lu, Hanfeng and Wu, Tianyuan and Yu, Minchen and Weng, Qizhen and Chen, Xusheng and Shan, Yizhou and Yuan, Binhang and Wang, Wei},journal={arXiv preprint arXiv:2401.11240},publisher={arXiv},year={2024},}
2023
Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent
@inproceedings{weng2023FGD,title={Beware of Fragmentation: Scheduling {GPU}-Sharing Workloads with Fragmentation Gradient Descent},author={Weng, Qizhen and Yang, Lingyun and Yu, Yinghao and Wang, Wei and Tang, Xiaochuan and Yang, Guodong and Zhang, Liping},booktitle={2023 {USENIX} Annual Technical Conference (ATC)},publisher={{USENIX} Association},year={2023},isbn={978-1-939133-35-9},address={Boston, MA},pages={995--1008},url={https://www.usenix.org/conference/atc23/presentation/weng},}
2022
MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters
@inproceedings{weng2022MLaaS,title={{MLaaS} in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous {GPU} Clusters},author={Weng, Qizhen and Xiao, Wencong and Yu, Yinghao and Wang, Wei and Wang, Cheng and He, Jian and Li, Yong and Zhang, Liping and Lin, Wei and Ding, Yu},booktitle={19th USENIX Symposium on Networked Systems Design and Implementation (NSDI)},pages={945--960},year={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, and
4 more authors
In 13th ACM Symposium on Cloud Computing (SoCC), 2022
@inproceedings{zhang2022Workload,title={Workload consolidation in {Alibaba} clusters: the good, the bad, and the ugly},author={Zhang, Yongkang and Yu, Yinghao and Wang, Wei and Chen, Qiukai and Wu, Jie and Zhang, Zuowei and Zhong, Jiang and Ding, Tianchen and Weng, Qizhen and Yang, Lingyun and Wang, Cheng and He, Jian and Yang, Guodong and Zhang, Liping},booktitle={13th ACM Symposium on Cloud Computing (SoCC)},pages={210--225},year={2022},}
2021
Accelerating Distributed Learning in Non-Dedicated Environments
Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, and Bo Li
@article{chen2021Accelerating,title={Accelerating Distributed Learning in Non-Dedicated Environments},author={Chen, Chen and Weng, Qizhen and Wang, Wei and Li, Baochun and Li, Bo},journal={IEEE Transactions on Cloud Computing (TCC)},year={2021},publisher={IEEE},}
2020
Metis: Learning to schedule long-running applications in shared container clusters at scale
Luping Wang, Qizhen Weng, Wei Wang, Chen Chen, and Bo Li
In International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020
@inproceedings{wang2020Metis,title={Metis: Learning to schedule long-running applications in shared container clusters at scale},author={Wang, Luping and Weng, Qizhen and Wang, Wei and Chen, Chen and Li, Bo},booktitle={International Conference for High Performance Computing, Networking, Storage and Analysis (SC)},pages={1--17},year={2020},organization={IEEE},}
Semi-dynamic load balancing: efficient distributed learning in non-dedicated environments
Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, and Bo Li
In 11th ACM Symposium on Cloud Computing (SoCC), 2020
@inproceedings{chen2020Semi,title={Semi-dynamic load balancing: efficient distributed learning in non-dedicated environments},author={Chen, Chen and Weng, Qizhen and Wang, Wei and Li, Baochun and Li, Bo},booktitle={11th ACM Symposium on Cloud Computing (SoCC)},pages={431--446},year={2020},}
2019
APSys
Towards framework-independent, non-intrusive performance characterization for dataflow computation
Huangshi Tian, Qizhen Weng, and Wei Wang
In Proceedings of the 10th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys), 2019
@inproceedings{tian2019Towards,title={Towards framework-independent, non-intrusive performance characterization for dataflow computation},author={Tian, Huangshi and Weng, Qizhen and Wang, Wei},booktitle={Proceedings of the 10th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys)},pages={54--60},year={2019},}
2018
SoCC
Fast distributed deep learning via worker-adaptive batch sizing
Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, and Bo Li
In 9th ACM Symposium on Cloud Computing (SoCC), 2018
@inproceedings{chen2018Fast,title={Fast distributed deep learning via worker-adaptive batch sizing},author={Chen, Chen and Weng, Qizhen and Wang, Wei and Li, Baochun and Li, Bo},booktitle={9th ACM Symposium on Cloud Computing (SoCC)},pages={521--521},year={2018},}
ICDCS
Opus: Fair and efficient cache sharing for in-memory data analytics
Yinghao Yu, Wei Wang, Jun Zhang, Qizhen Weng, and Khaled Ben Letaief
In 38th IEEE International Conference on Distributed Computing Systems (ICDCS), 2018
@inproceedings{yu2018Opus,title={Opus: Fair and efficient cache sharing for in-memory data analytics},author={Yu, Yinghao and Wang, Wei and Zhang, Jun and Weng, Qizhen and Letaief, Khaled Ben},booktitle={38th IEEE International Conference on Distributed Computing Systems (ICDCS)},pages={154--164},year={2018},organization={IEEE},}
