Baotong Lu

Orcid: 0000-0002-0230-1048

According to our database¹, Baotong Lu authored at least 10 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

SGDRC: Software-Defined Dynamic Resource Control for Concurrent DNN Inference on NVIDIA GPUs.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025

2024

DEX: Scalable Range Indexing on Disaggregated Memory.

[BibT_eX]

[DOI]

Proc. VLDB Endow., June, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

2022

Are Updatable Learned Indexes Ready?

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

2021

Scaling Dynamic Hash Tables on Real Persistent Memory.

[BibT_eX]

[DOI]

SIGMOD Rec., 2021

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

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

2020

Dash: Scalable Hashing on Persistent Memory.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2020

High Performance Depthwise and Pointwise Convolutions on Mobile Devices.

[BibT_eX]

[DOI]

Pengfei Zhang

Eric Lo

Baotong Lu

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

Baotong Lu

Timeline

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