3 citations · 7 across the 4 of their papers we have counts for
4 papers
RTCUDB: Building Databases with RT Processors
Xuri Shi, Kai Zhang, X. Sean Wang +2
A spectrum of new hardware has been studied to accelerate database systems in the past decade. Specifically, CUDA cores are known to benefit from the fast development of GPUs and m…
Re-enabling high-speed caching for LSM-trees
Lei Guo, Dejun Teng, Rubao Lee +3
LSM-tree has been widely used in cloud computing systems by Google, Facebook, and Amazon, to achieve high performance for write-intensive workloads. However, in LSM-tree, random ke…
Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems
Kaibo Wang, Yin Huai, Rubao Lee +3
As an important application of spatial databases in pathology imaging analysis, cross-comparing the spatial boundaries of a huge amount of segmented micro-anatomic objects demands…
hStorage-DB: Heterogeneity-aware Data Management to Exploit the Full Capability of Hybrid Storage Systems
Tian Luo, Rubao Lee, Michael Mesnier +2
As storage systems become increasingly heterogeneous and complex, it adds burdens on DBAs, causing suboptimal performance even after a lot of human efforts have been made. In addit…