Welcome to my page!

This is Kai Lu's personal website, including personal introduction, my projects, blogs and some records of my life. If you have any questions, please let me know.

About Me

I'm Kai Lu, currently a postdoctoral fellow at Huazhong University of Science and Technology. My major is storage systems and techniques.

Education

• Ph.D. degree in Computer Architecture, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, China, 2018-2023

• B.E. degree in Computer Science and Technology, Huazhong University of Science and Technology, China, 2014-2018

Interests and Projects

• Disaggregated Memory: Rcmp, SepHash, Scythe
• Key-value Store: Rocksdb, TiKV, Leveldb, NStore
• Distributed Storage: Ceph
• Non-volatile Memory(NVM): Sprint-AEP, Geardb, WIPE
• AI for Storage: Learned-Rocksdb, Park, Replica-Placement, Auto-Tuning-Ceph
• System for AI: DI-store, FlashNeuron, DeepSpeed, Retro

Publications

• Kai Lu, Siqi Zhao, Haikang Shan, Qiang Wei, Guankuan Li, Jiguang Wan, Ting Yao, Huatao Wu, Daohui Wang. Scythe: A Low-latency RDMA-enabled Distributed Transaction System for Disaggregated Memory. ACM Transactions on Architecture and Code Optimization (TACO 2024, CCF A) Code

• Zhonghua Wang, Kai Lu*, Jiguang Wan, Hong Jiang, Zeyang Zhao, Peng Xu, Biliang Lai, Guokuan Li, and Changsheng Xie. NStore: A High-Performance NUMA-Aware Key-Value Store for Hybrid Memory (TC 2024, CCF A) Code

• Xinhao Min, Kai Lu*, Pengyu Liu, Jiguang Wan, Changsheng Xie, Daohui Wang, Ting Yao, Huatao Wu. SepHash: A Write-Optimized Hash Index on Disaggregated Memory via Separate Segment Structure (VLDB 2024, CCF A) Code

• Yiwen Zhang, Guokuan Li*, Kai Lu*, Jiguang Wan, Ting Yao, Huatao Wu, Daohui Wang. PhatKV: Towards an Efficient Metadata Engine for KV-based File Systems on Modern SSD (MSST 2024, CCF B)

• Chen Ding, Jian Zhou, Kai Lu, Sicen Li, Yiqin Xiong, Jiguang Wan, Ling Zhan. D2Comp: Efficient Offload of LSM-tree Compaction with Data Processing Units on Disaggregated Storage (TACO 2024, CCF A)

• Yuanhui Zhou, Jian Zhou, Kai Lu, Ling Zhan, Peng Xu, Peng Wu, Shuning Chen, Xian Liu, Jiguang Wan. A contract-aware and cost-effective LSM Store for Cloud Storage with Low Latency Spikes (TOS 2024, CCF A)

• Zhonghua Wang, Yixing Guo, Kai Lu*, Jiguang Wan, Daohui Wang, Ting Yao, Huatao Wu. Rcmp: Reconstructing RDMA-based Memory Disaggregation via CXL (TACO 2023, CCF A) Code

• Liang Wang, Kai Lu(co-primary author), Nan Zhang, Xiaoyang Qu, Jianzong Wang, Jiguang Wan, Guokuan Li, Jing Xiao. Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning (DAC 2023, CCF A)

• Kai Lu, Guokuan Li, Jiguang Wan, Ruixiang Ma, Wei Zhao. ADSTS: Automatic Distributed Storage Tuning System Using Deep Reinforcement Learning (ICPP 2022, CCF B)

• Kai Lu, Nannan Zhao, Jiguang Wan, Changhong Fei, Wei Zhao, Tongliang Deng. RLRP: High-Efficient Data Placement with Reinforcement Learning for Modern Distributed Storage Systems (IPDPS 2022, CCF B) Code

• Kai Lu, Nannan Zhao, Jiguang Wan, Changhong Fei, Wei Zhao, and Tongliang Deng. TridentKV: A Read-Optimized LSM-tree Based KV Store via Adaptive Indexing and Space-Efficient Partitioning (TPDS, CCF A) Code

• Zhonghua Wang, Chen Ding, Fengguang Song, Kai Lu, Jiguang Wan, Zhihu Tan, Changsheng Xie and Guokuan Li. WIPE: a Write-Optimized Learned Index for Persistent Memory (TACO 2023, CCF A) Code

• Chen Ding, Jian Zhou, Jiguang Wan, Yiqin Xiong, Sicen Li, Shuning Chen, Hanyang Liu, Liu Tang, Ling Zhan, Kai Lu, Peng Xu. DComp: Efficient Offload of LSM-tree Compaction with Data Processing Units (ICPP 2023, CCF B)

• Wei Tao, Shenglin He, Kai Lu, Xiaoyang Qu, Guokuan Li, Jiguang Wan, Jianzong Wang, Jing Xiao. Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers (DATE 2023, CCF B)

• Daping Li, Jiguang Wan, Jun Wang, Jian Zhou, Kai Lu, Peng Xu, Fei Wu and Changsheng Xie. Disperse Access Considered Energy Inefficiency in Intel Optane DC Persistent Memory Servers (ICDCS 2020, CCF B) Code

• Ling Zhan, Kai Lu, Zhilong Cheng and Jiguang Wan. RangeKV: An Efficient Key-Value Store Based on Hybrid DRAM-NVM-SSD Storage Structure (IEEE Access 2020)

Contact

• Email: kailu@hust.edu.cn
• Github: emperorlu; PDS-Lab