Improving parallel efficiency for asynchronous graph analytics using Gauss-Seidel-based matrix computation. - Le Luo 002; Yi Liu 013 (Concurr. Comput. Pract. Exp., 2019)

Processing graphs with barrierless asynchronous parallel model on shared-memory systems. - Le Luo 002; Yi Liu 013 (Future Gener. Comput. Syst., 2020)

Magas: matrix-based asynchronous graph analytics on shared memory systems. - Le Luo 002; Yi Liu 013; Hailong Yang; Depei Qian (J. Supercomput., 2022)

DrPIM: An Adaptive and Less-blocking Data Replication Framework for Processing-in-Memory Architecture. - Sheng Xu; Hongyu Xue; Le Luo 002; Liang Yan; Xingqi Zou (ACM Great Lakes Symposium on VLSI, 2023)

Identifying Optimal Workload Offloading Partitions for CPU-PIM Graph Processing Accelerators. - Sheng Xu; Chun Li; Le Luo 002; Wu Zhou; Liang Yan; Xiaoming Chen 003 (IEEE Trans. Very Large Scale Integr. Syst., 2025)