Theoretically Optimal and Empirically Efficient R-trees with Strong Parallelizability

Jianzhong Qi; Yufei Tao; Yanchuan Chang; Rui Zhang

Journal article

Theoretically Optimal and Empirically Efficient R-trees with Strong Parallelizability

Jianzhong Qi, Yufei Tao, Yanchuan Chang, Rui Zhang

Proceedings of the VLDB Endowment | ASSOC COMPUTING MACHINERY | Published : 2018

DOI: 10.1145/3177732.3177738

University of Melbourne Researchers

Rui Zhang Author Computing and Information Systems

Jianzhong Qi Author Computing and Information Systems

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Grants

Awarded by Australian Research Council (ARC)

Awarded by Discovery Project

Awarded by University of Melbourne Early Career Researcher Grant

Awarded by Chinese University of Hong Kong

Funding Acknowledgements

This work is supported by Australian Research Council (ARC) Future Fellowships Project FT120100832 and Discovery Project DP130104587, The University of Melbourne Early Career Researcher Grant (Project Number: 603049), a direct grant (Project Number: 4055079) from The Chinese University of Hong Kong, and a Faculty Research Award from Google.