Baotong Lu

According to our database, Baotong Lu authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

DEX: Scalable Range Indexing on Disaggregated Memory.

Baotong Lu, Kaisong Huang, Chieh-Jan Mike Liang, Tianzheng Wang, Eric Lo

Proc. VLDB Endow., June, 2024

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval.

Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Zhenhua Han, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu

CoRR, 2024

Missile: Fine-Grained, Hardware-Level GPU Resource Isolation for Multi-Tenant DNN Inference.

Yongkang Zhang, Haoxuan Yu, Chenxia Han, Cheng Wang, Baotong Lu, Yang Li, Xiaowen Chu, Huaicheng Li

CoRR, 2024

DEX: Scalable Range Indexing on Disaggregated Memory [Extended Version].

Baotong Lu, Kaisong Huang, Chieh-Jan Mike Liang, Tianzheng Wang, Eric Lo

CoRR, 2024

2022

Are Updatable Learned Indexes Ready?

Chaichon Wongkham, Baotong Lu, Chris Liu, Zhicong Zhong, Eric Lo, Tianzheng Wang

Proc. VLDB Endow., 2022

2021

Scaling Dynamic Hash Tables on Real Persistent Memory.

Baotong Lu, Xiangpeng Hao, Tianzheng Wang, Eric Lo

SIGMOD Rec., 2021

APEX: A High-Performance Learned Index on Persistent Memory.

Baotong Lu, Jialin Ding, Eric Lo, Umar Farooq Minhas, Tianzheng Wang

Proc. VLDB Endow., 2021

2020

Dash: Scalable Hashing on Persistent Memory.

Baotong Lu, Xiangpeng Hao, Tianzheng Wang, Eric Lo

Proc. VLDB Endow., 2020

High Performance Depthwise and Pointwise Convolutions on Mobile Devices.

Pengfei Zhang, Eric Lo, Baotong Lu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020