3 papers
cs.LG2026
A Dependency-Aware Multi-GPU Training Framework for Temporal Graph Neural Networks
Yang Zhao, Yue Dai, Liang Qiao +8
Temporal graph neural networks (TGNNs) achieve superior performance in many dynamic graph learning tasks. These models use node state vectors (i.e., memories) to capture and record…
cs.AR2025
NDFT: Accelerating Density Functional Theory Calculations via Hardware/Software Co-Design on Near-Data Computing System
Qingcai Jiang, Buxin Tu, Xiaoyu Hao +2
Linear-response time-dependent Density Functional Theory (LR-TDDFT) is a widely used method for accurately predicting the excited-state properties of physical systems. Previous wor…
cs.AR2025
NDPage: Efficient Address Translation for Near-Data Processing Architectures via Tailored Page Table
Qingcai Jiang, Buxin Tu, Hong An
Near-Data Processing (NDP) has been a promising architectural paradigm to address the memory wall problem for data-intensive applications. Practical implementation of NDP architect…