6 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.DB2026
Cache-Aware I/O Cost Modeling for Disk-Based Learned Indexes
Zhanwei Shi, Meng Zhang, Guangyi Zhang +5
Learned indexes have shown attractive space-time trade-offs in main-memory settings, yet a principled I/O cost model for their disk-resident deployments is still missing, which is…
cs.DC2024
TorchGT: A Holistic System for Large-scale Graph Transformer Training
Meng Zhang, Jie Sun, Qinghao Hu +4
Graph Transformer is a new architecture that surpasses GNNs in graph learning. While there emerge inspiring algorithm advancements, their practical adoption is still limited, parti…
cs.DC2024★ 6 cited
Characterization of Large Language Model Development in the Datacenter
Qinghao Hu, Zhisheng Ye, Zerui Wang +9
Large Language Models (LLMs) have presented impressive performance across several transformative tasks. However, it is non-trivial to efficiently utilize large-scale cluster resour…