1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.DC2019★ 1 cited
A Survey on Graph Processing Accelerators: Challenges and Opportunities
Chuangyi Gui, Long Zheng, Bingsheng He +4
Graph is a well known data structure to represent the associated relationships in a variety of applications, e.g., data science and machine learning. Despite a wealth of existing e…
cs.AR2018
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…
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…