2 citations · 6 across the 6 of their papers we have counts for
6 papers
FusionANNS: An Efficient CPU/GPU Cooperative Processing Architecture for Billion-scale Approximate Nearest Neighbor Search
Bing Tian, Haikun Liu, Yuhang Tang +6
Approximate nearest neighbor search (ANNS) has emerged as a crucial component of database and AI infrastructure. Ever-increasing vector datasets pose significant challenges in term…
Graph for Science: From API based Programming to Graph Engine based Programming for HPC
Yu Zhang, Zixiao Wang, Jin Zhao +5
Modern scientific applications predominantly run on large-scale computing platforms, necessitating collaboration between scientific domain experts and high-performance computing (H…
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction
Zixiao Wang, Yuluo Guo, Jin Zhao +5
In this paper, we propose a Graph Inception Diffusion Networks(GIDN) model. This model generalizes graph diffusion in different feature spaces, and uses the inception module to avo…
A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions
Haikun Liu, Di Chen, Hai Jin +4
Non-Volatile Main Memories (NVMMs) have recently emerged as promising technologies for future memory systems. Generally, NVMMs have many desirable properties such as high density,…
Echo: An Edge-Centric Code Offloading System with Quality of Service Guarantee
Li Lin, Xiaofei Liao
Code offloading is promising to accelerate mobile applications and save energy of mobile devices by shifting some computation to cloud. However, existing code offloading systems su…
Supporting Superpages and Lightweight Page Migration in Hybrid Memory Systems
Xiaoyuan Wang
Superpages have long been used to mitigate address translation overhead in big memory systems. However, superpages often preclude lightweight page migration, which is crucial for p…