[1] |
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(01): 1-11.
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[2] |
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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[3] |
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(09): 1532-1543.
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[4] |
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(09): 1553-1562.
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[5] |
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(09): 1532-1541.
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[6] |
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(09): 1542-1549.
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[7] |
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(08): 1331-1341.
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[8] |
LI Wen-jia, SHI Lan, JI Hang-xu, LUO Yi-peng.
Research and implementation of a Flink-oriented load balancing task scheduling algorithm
[J]. Computer Engineering & Science, 2022, 44(07): 1141-1151.
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[9] |
CHEN Feng-xian.
Cluster job runtime prediction based on NR-Transformer
[J]. Computer Engineering & Science, 2022, 44(07): 1181-1190.
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[10] |
ZHAO Shu, XIAO Man, LI Wei-dong.
Semi-online algorithms for hierarchical scheduling on three machines with reassignment
[J]. Computer Engineering & Science, 2022, 44(06): 1126-1132.
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[11] |
LUO Lei, CHEN Zhao-yun, WANG Li-xuan.
User QoS-aware deep learning task dynamic scheduling on GPU clusters
[J]. Computer Engineering & Science, 2021, 43(08): 1331-1340.
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[12] |
YANG Jian-wei, MENG Min, HUANG Jia-le, WU Ji-gang.
Scheduling of heterogeneous tasks for distributed training
[J]. Computer Engineering & Science, 2021, 43(07): 1160-1167.
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[13] |
HUANG Shan, , FANG Liu-yi, , XU Hao-tong, DUAN Xiao-dong, .
Task scheduling optimization of Flink in container environment
[J]. Computer Engineering & Science, 2021, 43(07): 1173-1184.
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[14] |
JI Hang-xu, JIANG Su, ZHAO Yu-hai, WU Gang, WANG Guo-ren.
Scheduling and optimization of multi-job execution in distributed environment
[J]. Computer Engineering & Science, 2021, 43(06): 951-961.
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[15] |
XING Hong-xing, WEI Ye-hua, LE Yi.
A hardware cost reduction scheduling algorithm of heterogeneous distributed embedded system
[J]. Computer Engineering & Science, 2021, 43(02): 258-265.
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