Shengliang Lu
Cited by
Cited by
Efficient gradient boosted decision tree training on GPUs
Z Wen, B He, R Kotagiri, S Lu, J Shi
2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018
Revisiting hash join on graphics processors: a decade later
J Paul, B He, S Lu, CT Lau
Distributed and Parallel Databases, 1-23, 2020
G3 when graph neural networks meet parallel graph processing systems on GPUs
H Liu, S Lu, X Chen, B He
Proceedings of the VLDB Endowment 13 (12), 2813-2816, 2020
Deploying hash tables on die-stacked high bandwidth memory
X Cheng, B He, E Lo, W Wang, S Lu, X Chen
Proceedings of the 28th ACM International Conference on Information and …, 2019
Accelerating Exact Constrained Shortest Paths on GPUs (Complete Version)
S Lu, B He, Y Li, H Fu
Accelerating exact constrained shortest paths on GPUs
S Lu, B He, Y Li, H Fu
Proceedings of the VLDB Endowment 14 (4), 547-559, 2020
Improving execution efficiency of just-in-time compilation based query processing on GPUs
J Paul, B He, S Lu, CT Lau
Proceedings of the VLDB Endowment 14 (2), 202-214, 2020
Cache-Efficient Fork-Processing Patterns on Large Graphs
S Lu, S Sun, J Paul, Y Li, B He
arXiv preprint arXiv:2103.14915, 2021
MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures
J Paul, S Lu, B He, CT Lau
Poet: an Interactive Spatial Query Processing System in Grab
J Paul, JL Ang, T Fu, B He, S Lu, SY Tan, F Cheng
Proceedings of the 28th International Conference on Advances in Geographic …, 2020
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