2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.AR2022★ 1 cited
ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines
Xinyu Chen, Yao Chen, Feng Cheng +3
The use of FPGAs for efficient graph processing has attracted significant interest. Recent memory subsystem upgrades including the introduction of HBM in FPGAs promise to further a…
cs.LG2021★ 2 cited
Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload
Johan Kok Zhi Kang, Gaurav, Sien Yi Tan +3
The use of deep learning models for forecasting the resource consumption patterns of SQL queries have recently been a popular area of study. With many companies using cloud platfor…