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20242026
most citedHTAP Databases: A Survey

17 citations · 21 across the 34 of their papers we have counts for

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5 papers · 1 filter

cs.LG2024

SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization

Jintao Zhang, Haofeng Huang, Pengle Zhang +3

Although quantization for linear layers has been widely used, its application to accelerate the attention process remains limited. To further enhance the efficiency of attention co…

cs.LG2024★ 2 cited

SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration

Jintao Zhang, Jia Wei, Haofeng Huang +3

The transformer architecture predominates across various models. As the heart of the transformer, attention has a computational complexity of , compared to for linea…

cs.DB2024

AutoCE: An Accurate and Efficient Model Advisor for Learned Cardinality Estimation

Jintao Zhang, Chao Zhang, Guoliang Li +1

Cardinality estimation (CE) plays a crucial role in many database-related tasks such as query generation, cost estimation, and join ordering. Lately, we have witnessed the emergenc…

cs.DB2024★ 1 cited

PACE: Poisoning Attacks on Learned Cardinality Estimation

Jintao Zhang, Chao Zhang, Guoliang Li +1

Cardinality estimation (CE) plays a crucial role in database optimizer. We have witnessed the emergence of numerous learned CE models recently which can outperform traditional meth…

cs.DB2024★ 17 cited

HTAP Databases: A Survey

Chao Zhang, Guoliang Li, Jintao Zhang +2

Since Gartner coined the term, Hybrid Transactional and Analytical Processing (HTAP), numerous HTAP databases have been proposed to combine transactions with analytics in order to…