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[1]RLSchert: An HPC Job Scheduler Using Deep Reinforcement Learning and Remaining Time Prediction.Applied Sciences,11(20):9448.
[2]Predicting job finish time based on parameter features and running logs in supercomputing system.The Journal of Supercomputing,
[3]基于数值原子轨道基组的第一性原理计算软件ABACUS.Acta Phys. Sin.,64(18):187104-187104.
[4]A Novel Two-Step Job Runtime Estimation Method Based on Input Parameters in HPC System.2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA),311-316.
[5]RoCE协议下基于在网计算的MPI通信优化.计算机系统应用,2022,31(11):
[6]超算中心典型科研应用特征统计与分析.小型微型计算机系统,2022,43(6):1121-1127.
[7]User-level Workload Analysis for Supercomputers.2021 The 4th International Conference on Software Engineering and Information Management,2021,68–73.
[8]基于应用的全局资源优化调度方法.计算机应用,2019,S2(39):156-159.
[9]面向回填优化的作业时长预测.小型微型计算机系统,2019,40(1):6-12.
[10]并行广义本征值求解器GenELPA.计算机科学与探索,2018,12(1):65.
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