2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AR2026
Accelerating Multi-Scale Deformable Attention Using Near-Memory-Processing Architecture
Huize Li, Qinggang Wang, Bing Gao +3
Multi Scale Deformable Attention (MSDAttn) has become a fundamental component in various vision tasks due to its effective multi scale grid sampling (MSGS). However, its reliance o…
cs.AR2022★ 2 cited
CPSAA: Accelerating Sparse Attention using Crossbar-based Processing-In-Memory Architecture
Huize Li, Hai Jin, Long Zheng +7
The attention mechanism requires huge computational efforts to process unnecessary calculations, significantly limiting the system's performance. Researchers propose sparse attenti…
cs.DC2018
Efficient Time-Evolving Stream Processing at Scale
Yu Huang
Time-evolving stream datasets exist ubiquitously in many real-world applications where their inherent hot keys often evolve over times. Nevertheless, few existing solutions can pro…