Lu Zhang

According to our database, Lu Zhang authored at least 16 papers between 2019 and 2023.

Collaborative distances:

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

2023

FPGA sharing in the cloud: a comprehensive analysis.

Jinyang Guo, Lu Zhang, José Romero Hung, Chao Li, Jieru Zhao, Minyi Guo

Frontiers Comput. Sci., October, 2023

Optimizing GPU-Based Graph Sampling and Random Walk for Efficiency and Scalability.

Pengyu Wang, Cheng Xu, Chao Li, Jing Wang, Taolei Wang, Lu Zhang, Xiaofeng Hou, Minyi Guo

IEEE Trans. Computers, September, 2023

Fargraph+: Excavating the parallelism of graph processing workload on RDMA-based far memory system.

Jing Wang, Chao Li, Yibo Liu, Taolei Wang, Junyi Mei, Lu Zhang, Pengyu Wang, Minyi Guo

J. Parallel Distributed Comput., July, 2023

FIRST: Exploiting the Multi-Dimensional Attributes of Functions for Power-Aware Serverless Computing.

Lu Zhang, Chao Li, Xinkai Wang, Weiqi Feng, Zheng Yu, Quan Chen, Jingwen Leng, Minyi Guo, Pu Yang, Shang Yue

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

Tapping into NFV Environment for Opportunistic Serverless Edge Function Deployment.

Lu Zhang, Weiqi Feng, Chao Li, Xiaofeng Hou, Pengyu Wang, Jing Wang, Minyi Guo

IEEE Trans. Computers, 2022

Performance optimization for cloud computing systems in the microservice era: state-of-the-art and research opportunities.

Rong Zeng, Xiaofeng Hou, Lu Zhang, Chao Li, Wenli Zheng, Minyi Guo

Frontiers Comput. Sci., 2022

Cloud-Native Server Consolidation for Energy-Efficient FaaS Deployment.

Lu Zhang, Yifei Pu, Cheng Xu, Du Liu, Zeyi Lin, Xiaofeng Hou, Pu Yang, Shang Yue, Chao Li, Minyi Guo

Proceedings of the Network and Parallel Computing, 2022

Excavating the Potential of Graph Workload on RDMA-based Far Memory Architecture.

Jing Wang, Chao Li, Taolei Wang, Lu Zhang, Pengyu Wang, Junyi Mei, Minyi Guo

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Exploring Efficient Microservice Level Parallelism.

Xinkai Wang, Chao Li, Lu Zhang, Xiaofeng Hou, Quan Chen, Minyi Guo

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

HyFarM: Task Orchestration on Hybrid Far Memory for High Performance Per Bit.

Jing Wang, Chao Li, Junyi Mei, Hao He, Taolei Wang, Pengyu Wang, Lu Zhang, Minyi Guo, Hanqing Wu, Dongbai Chen, Xiangwen Liu

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021

AlphaR: Learning-Powered Resource Management for Irregular, Dynamic Microservice Graph.

Xiaofeng Hou, Chao Li, Jiacheng Liu, Lu Zhang, Shaolei Ren, Jingwen Leng, Quan Chen, Minyi Guo

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs.

Pengyu Wang, Chao Li, Jing Wang, Taolei Wang, Lu Zhang, Jingwen Leng, Quan Chen, Minyi Guo

Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020

ANT-man: towards agile power management in the microservice era.

Xiaofeng Hou, Chao Li, Jiacheng Liu, Lu Zhang, Yang Hu, Minyi Guo

Proceedings of the International Conference for High Performance Computing, 2020

2019

Characterizing and orchestrating NFV-ready servers for efficient edge data processing.

Lu Zhang, Chao Li, Pengyu Wang, Yunxin Liu, Yang Hu, Quan Chen, Minyi Guo

Proceedings of the International Symposium on Quality of Service, 2019

Excavating the Potential of GPU for Accelerating Graph Traversal.

Pengyu Wang, Lu Zhang, Chao Li, Minyi Guo

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Performance of Training Sparse Deep Neural Networks on GPUs.

Jianzong Wang, Zhangcheng Huang, Lingwei Kong, Jing Xiao, Pengyu Wang, Lu Zhang, Chao Li

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019