3 papers
cs.LG2026
RETENTION: Resource-Efficient Tree-Based Ensemble Model Acceleration with Content-Addressable Memory
Yi-Chun Liao, Chieh-Lin Tsai, Yuan-Hao Chang +3
Although deep learning has demonstrated remarkable capability in learning from unstructured data, modern tree-based ensemble models remain superior in extracting relevant informati…
cs.OS2025
SARA: A Stall-Aware Memory Allocation Strategy for Mixed-Criticality Systems
Meng-Chia Lee, Wen Sheng Lim, Yuan-Hao Chang +1
The memory capacity in edge devices is often limited due to constraints on cost, size, and power. Consequently, memory competition leads to inevitable page swapping in memory-const…
cs.AR2025
ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar
Yu-Hong Lai, Chieh-Lin Tsai, Wen Sheng Lim +3
Deep learning-based recommendation models (DLRMs) are widely deployed in commercial applications to enhance user experience. However, the large and sparse embedding layers in these…