1 | -- | 2 | Yunquan Zhang, Guangming Tan, Liang Yuan. Special issue of HPCChina 2023 |
3 | -- | 16 | Yidong Chen, Jingshan Pan, Zidong Han, Yonghong Hu, Meng Guo, Zhonghua Lu. BSPADMM: block splitting proximal ADMM for sparse representation with strong scalability |
17 | -- | 31 | Yueyuan Zhou, ZiYi Ren, En Shao, Lixian Ma, Qiang Hu, Leping Wang, Guangming Tan. FILL: a heterogeneous resource scheduling system addressing the low throughput problem in GROMACS |
32 | -- | 44 | Lu Bai, Weixing Ji, Qinyuan Li, Xilai Yao, Wei Xin, Wanyi Zhu. ConvDarts: a fast and exact convolutional algorithm selector for deep learning frameworks |
45 | -- | 53 | Hang Cao, Cheng Xu, Yunqi Han, Muhui Lin, Kai Shen, Geng Wang, Jinhu Li, Xiangzheng Sun, Ronghui He, Liang You, Hang Yang, Xiantao Zhang. An efficient cloud-based elastic RDMA protocol for HPC applications |
54 | -- | 67 | Haoyuan Zhang, Wenpeng Ma, Wu Yuan 0002, Jian Zhang, Zhonghua Lu. Mixed-precision block incomplete sparse approximate preconditioner on Tensor core |
68 | -- | 77 | Dazheng Liu, Wenjuan Liu, Liangrui Pan, Yutao Dou, Jianping Wu. Optimization of the parallel semi-Lagrangian scheme to overlap computation with communication based on grouping levels in YHGSM |
78 | -- | 93 | Yang Wang, Qinglin Wang, Xiangdong Pei, Songzhu Mei, Rongchun Li, Jie Liu 0002. High performance dilated convolutions on multi-core DSPs |
94 | -- | 111 | Zhengxian Lu, Chengkun Du, Yanfeng Jiang, Xueshuo Xie, Tao Li, Fei Yang. Quantitative evaluation of deep learning frameworks in heterogeneous computing environment |