Follow
Liang Geng
Title
Cited by
Cited by
Year
Sep-graph: finding shortest execution paths for graph processing under a hybrid framework on GPU
H Wang, L Geng, R Lee, K Hou, Y Zhang, X Zhang
Proceedings of the 24th Symposium on Principles and Practice of Parallel …, 2019
552019
Automating incremental and asynchronous evaluation for recursive aggregate data processing
Q Wang, Y Zhang, H Wang, L Geng, R Lee, X Zhang, G Yu
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
202020
Automating incremental graph processing with flexible memoization
S Gong, C Tian, Q Yin, W Yu, Y Zhang, L Geng, S Yu, G Yu, J Zhou
Proceedings of the VLDB Endowment 14 (9), 1613-1625, 2021
122021
Hypha: a framework based on separation of parallelisms to accelerate persistent homology matrix reduction
S Zhang, M Xiao, C Guo, L Geng, H Wang, X Zhang
Proceedings of the ACM International Conference on Supercomputing, 69-81, 2019
112019
Catfish: Adaptive RDMA-enabled r-tree for low latency and high throughput
M Xiao, H Wang, L Geng, R Lee, X Zhang
2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019
72019
Efficient Multi-GPU Graph Processing with Remote Work Stealing
K Meng, L Geng, X Li, Q Tao, W Yu, J Zhou
2023 IEEE 39th International Conference on Data Engineering (ICDE), 191-204, 2023
12023
An RDMA-enabled In-memory Computing Platform for R-tree on Clusters
M Xiao, H Wang, L Geng, R Lee, X Zhang
ACM Transactions on Spatial Algorithms and Systems (TSAS) 8 (2), 1-26, 2022
12022
Ingress: an automated incremental graph processing system
S Gong, C Tian, Q Yin, Z Wang, S Yu, Y Zhang, W Yu, L Geng, C Fu, G Yu, ...
The VLDB Journal, 1-26, 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–8