3 papers
cs.DC2026
HARP: Orchestrating Automated Parallel Training on Heterogeneous GPU Clusters
Antian Liang, Zhigang Zhao, Kai Zhang +6
With the rapid evolution of GPU architectures, the heterogeneity of model training infrastructures is steadily increasing. In such environments, effectively utilizing all available…
cs.DB2026
UTune: Towards Uncertainty-Aware Online Index Tuning
Chenning Wu, Sifan Chen, Wentao Wu +4
There have been a flurry of recent proposals on learned benefit estimators for index tuning. Although these learned estimators show promising improvement over what-if query optimiz…
cs.DB2024
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…