Exploring large-scale small file storage for search engines. - Weizhe Zhang; Gangzhao Lu; Hui He; Qizhen Zhang 003; Chuanliang Yu (J. Supercomput., 2016)

Performance modeling for MPI applications with low overhead fine-grained profiling. - Gangzhao Lu; Weizhe Zhang; Hui He; Laurence T. Yang (Future Gener. Comput. Syst., 2019)

Optimizing GPU Memory Transactions for Convolution Operations. - Gangzhao Lu; Weizhe Zhang; Zheng Wang 001 (CLUSTER, 2020)

Automatic translation of data parallel programs for heterogeneous parallelism through OpenMP offloading. - Farui Wang; Weizhe Zhang; Haonan Guo; Meng Hao 002; Gangzhao Lu; Zheng Wang 001 (J. Supercomput., 2021)

Fine-Grained Powercap Allocation for Power-Constrained Systems Based on Multi-Objective Machine Learning. - Meng Hao 002; Weizhe Zhang; Yiming Wang 010; Gangzhao Lu; Farui Wang; Athanasios V. Vasilakos (IEEE Trans. Parallel Distributed Syst., 2021)

Optimizing Depthwise Separable Convolution Operations on GPUs. - Gangzhao Lu; Weizhe Zhang; Zheng Wang 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Optimizing depthwise separable convolution on DCU. - Zheng Liu; Meng Hao 002; Weizhe Zhang; Gangzhao Lu; Xueyang Tian; Siyu Yang; Mingdong Xie; Jie Dai; Chenyu Yuan; Desheng Wang 002; Hongwei Yang (CCF Trans. High Perform. Comput., 2024)