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LIN Chenxi, LI Jialun, MO Xuan, ZHOU Jieying, WU Weigang.
A GPU-sharing-based scheduling framework for accelerating deep learning training tasks
[J]. Computer Engineering & Science, 2026, 48(3): 389-397.
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| [2] |
ZHAO Peng, KUANG Zhufang.
Research on task offloading scheduling and resource allocation mechanism of vehicleedgecloud collaboration
[J]. Computer Engineering & Science, 2025, 47(7): 1205-1214.
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| [3] |
AI Chenyang1, ZHAO Lechuan, HUA Tao, WANG Xin’an, WANG Ying.
A hybrid matrix-vector processor with dynamically reconfigurable dataflow
[J]. Computer Engineering & Science, 2025, 47(11): 1912-1921.
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LI Jiakun, XIE Yulai, FENG Dan.
A real-time scheduling algorithm for video processing tasks under cloud-edge collaboration framework
[J]. Computer Engineering & Science, 2025, 47(10): 1767-1778.
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| [5] |
JING Chao, BI Yu-shen.
OASIS: An interference-aware online scheduling algorithm for deep learning jobs
[J]. Computer Engineering & Science, 2024, 46(12): 2138-2148.
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LI Bao, ZHU Shu, WANG Xiao-chuan, REN Yi, TAN Yu-song.
A time-aware dominant resource fair scheduling algorithm for edge function computing
[J]. Computer Engineering & Science, 2024, 46(10): 1711-1719.
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SHEN Xiao-ning, XU Ji-yong, MAO Ming-jian, CHEN Wen-yan, SONG Li-yan, .
Dynamic agile software project scheduling using dual-index group learning particle swarm optimization
[J]. Computer Engineering & Science, 2024, 46(10): 1793-1806.
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SUN Qing-xiao, LIU Yi, YANG Hai-long, WANG Yi-qing, JIA Jie, LUAN Zhong-zhi, QIAN De-pei.
GNNSched: A GNN inference task scheduling framework on GPU
[J]. Computer Engineering & Science, 2024, 46(1): 1-11.
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LIN Jia-shuo, LI Wei-chao, CHENG Jian, ZHAN Shuang-ping, FENG Jing-bin, WANG Tao, HUANG Qian-yi, TANG Bo, WANG Yi, .
A novel flexible gate control mechanism for time-sensitive networking
[J]. Computer Engineering & Science, 2023, 45(9): 1553-1562.
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LI Fei, GUO Shao-zhong, ZHOU Bei, SONG Guang-hui, HAO Jiang-wei, XU Jin-chen.
Performance optimization of RISC-V basic math library
[J]. Computer Engineering & Science, 2023, 45(9): 1532-1543.
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ZHOU Xiao-hua, WANG Xue-zhi, ZHOU Yuan-chun, MENG Zhen, .
Distributed Kriging interpolation algorithm optimization for large region carbon satellite data
[J]. Computer Engineering & Science, 2023, 45(11): 1911-1921.
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| [12] |
SUN Hao-nan, WANG Fei, WEI Di, YIN Wan-wang, SHI Jun-da.
A Gatherv optimization method for large scale concurrency
[J]. Computer Engineering & Science, 2022, 44(9): 1542-1549.
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| [13] |
WEN Rui-lin, FAN Chun, MA Yin-ping, WANG Zheng-dan, XIANG Guang-yu, FU Zhen-xin.
SlurmX:A task scheduling system refactored from Slurm using object oriented methodology
[J]. Computer Engineering & Science, 2022, 44(9): 1532-1541.
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ZHU Zheng-dong, WU Yin-chao, HU Ya-hong, JIANG Jia-qiang.
A cluster job execution time prediction model based on LSTM
[J]. Computer Engineering & Science, 2022, 44(8): 1331-1341.
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| [15] |
CHEN Feng-xian.
Cluster job runtime prediction based on NR-Transformer
[J]. Computer Engineering & Science, 2022, 44(7): 1181-1190.
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