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Baotong Lu
Baotong Lu
Microsoft Research
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Titel
Citeret af
Citeret af
År
Dash: Scalable hashing on persistent memory
B Lu, X Hao, T Wang, E Lo
Proceedings of the VLDB Endowment 13 (8), 1147-1161, 2020
1782020
APEX: A high-performance learned index on persistent memory
B Lu, J Ding, E Lo, UF Minhas, T Wang
Proceedings of the VLDB Endowment 15 (3), 2021
682021
Are updatable learned indexes ready?
C Wongkham, B Lu, C Liu, Z Zhong, E Lo, T Wang
Proceedings of the VLDB Endowment 15 (11), 2022
462022
High performance depthwise and pointwise convolutions on mobile devices
P Zhang, E Lo, B Lu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6795-6802, 2020
422020
Retrievalattention: Accelerating long-context llm inference via vector retrieval
D Liu, M Chen, B Lu, H Jiang, Z Han, Q Zhang, Q Chen, C Zhang, B Ding, ...
arXiv preprint arXiv:2409.10516, 2024
19*2024
Scaling dynamic hash tables on real persistent memory
B Lu, X Hao, T Wang, E Lo
ACM SIGMOD Record 50 (1), 87-94, 2021
72021
DEX: Scalable Range Indexing on Disaggregated Memory
B Lu, K Huang, CJM Liang, T Wang, E Lo
Proceedings of the VLDB Endowment 17 (10), 2603-2616, 2024
4*2024
Missile: Fine-Grained, Hardware-Level GPU Resource Isolation for Multi-Tenant DNN Inference
Y Zhang, H Yu, C Han, C Wang, B Lu, Y Li, X Chu, H Li
arXiv preprint arXiv:2407.13996, 2024
2024
Scaling Learned Indexes on Persistent Memory
B Lu, J Ding, E Lo, UF Minhas, T Wang
Annual Non-Volatile Memories Workshop, 2022
2022
Building Scalable Dynamic Hash Tables on Persistent Memory
B Lu, X Hao, T Wang, E Lo
Annual Non-Volatile Memories Workshop, 2021
2021
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Artikler 1–10