![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
CCF Transactions on High Performance Computing, Volume 6
Volume 6, Number 1, February 2024
- Yunquan Zhang, Guangming Tan, Liang Yuan:
Special issue of HPCChina 2023. 1-2 - Yidong Chen, Jingshan Pan, Zidong Han, Yonghong Hu, Meng Guo, Zhonghua Lu
:
BSPADMM: block splitting proximal ADMM for sparse representation with strong scalability. 3-16 - 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. 17-31 - Lu Bai, Weixing Ji
, Qinyuan Li, Xilai Yao, Wei Xin, Wanyi Zhu:
ConvDarts: a fast and exact convolutional algorithm selector for deep learning frameworks. 32-44 - 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. 45-53 - Haoyuan Zhang, Wenpeng Ma, Wu Yuan, Jian Zhang, Zhonghua Lu:
Mixed-precision block incomplete sparse approximate preconditioner on Tensor core. 54-67 - 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. 68-77 - Yang Wang, Qinglin Wang
, Xiangdong Pei, Songzhu Mei, Rongchun Li, Jie Liu:
High performance dilated convolutions on multi-core DSPs. 78-93 - Zhengxian Lu, Chengkun Du, Yanfeng Jiang, Xueshuo Xie
, Tao Li, Fei Yang:
Quantitative evaluation of deep learning frameworks in heterogeneous computing environment. 94-111
Volume 6, Number 2, April 2024
- Shanjiang Tang, Yusen Li:
Editorial for the special issue on heterogenous computing. 113-114 - Yang Xiao, Zeke Wang
:
AIbench: a tool for benchmarking Huawei ascend AI processors. 115-129 - Shanjiang Tang
, Ziyi Wang, Ce Yu, Chao Sun, Yusen Li, Jian Xiao:
Fast and accurate novelty detection for large surveillance video. 130-149 - Xinyang Shen, Yu Huang
, Long Zheng, Xiaofei Liao, Hai Jin:
A heterogeneous 3-D stacked PIM accelerator for GCN-based recommender systems. 150-163 - Gang Liu, Zeting Wang, Amelie Chi Zhou
, Rui Mao:
Adaptive key partitioning in distributed stream processing. 164-178 - Shiyang Li, Jingyu Zhu, Jiaxun Han, Yuting Peng, Zhuoran Wang, Xiaoli Gong
, Gang Wang, Jin Zhang, Xuqiang Wang:
OneGraph: a cross-architecture framework for large-scale graph computing on GPUs based on oneAPI. 179-191 - Yuanwei Sun, Haikun Liu
, Xiaofei Liao, Hai Jin, Yu Zhang:
FPGA-based acceleration architecture for Apache Spark operators. 192-205 - Yani Liu
, Feng Zhang, Zaifeng Pan, Xiaoguang Guo, Yihua Hu, Xiao Zhang, Xiaoyong Du:
Compressed data direct computing for Chinese dataset on DCU. 206-220 - Yu Lu, Ce Yu, Jian Xiao, Hao Wang, Hao Fu, Bo Kang, Gang Zheng:
A large-scale heterogeneous computing framework for non-uniform sampling two-dimensional convolution applications. 221-239
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.