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刘松

副教授    博士生导师    硕士生导师

个人信息 更多+
  • 学历: 博士研究生毕业
  • 学位: 博士
  • 职称: 副教授

发表论文

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  • Song Liu, Jie Ma, Zhenyuan Zhang, Xinhe Wan, Bo Zhao, Weiguo Wu. Scalpel: High Performance Contention-Aware Task Co-Scheduling for Shared Cache Hierarchy[J]. IEEE Transactions on Computers. (Accepted)
  • Zhike Li, Yong Wang, Shiqiang Nie, Jinyu Wang, Chi Zhang, Fangxing Yu, Zhankun Zhang, Song Liu*, Weiguo Wu. Olsync: Object-level tiering and coordination in tiered storage systems based on software-defined network[J]. Future Generation Computer Systems. 2025, vol.163, 107521.
  • Weiduo Chen, Xiaoshe Dong*, Xinhang Chen, Song Liu, Qin Xia, Qiang Wang. pommDNN: Performance optimal GPU memory management for deep neural network training[J]. Future Generation Computer Systems. 2024, vol.152, pp.160-169.
  • Chi Zhang, Fangxing Yu, Shiqiang Nie, Wei Tang, Fei Liu, Song Liu*, Weiguo Wu*. Amphisbaena: A Novel Persistent Buffer Management Strategy to Improve SMR Disk Performance[J]. Applied Sciences. 2024, 14(630): 1-26.
  • Xiaoya An, Ziming Wang, Ding Wang, Song Liu*, Cheng Jin, Xinpeng Xu, Jianjun Cao. STRP-DBSCAN: A Parallel DBSCAN Algorithm Based on Spatial-Temporal Random Partitioning for Clustering Trajectory Data[J]. Applied Sciences. 2023, 13(20), 11122: 1-23.
  • Chi Zhang, Song Liu, Fangxing Yu, Menghan Li, Wei Tang, Fei Liu, Weiguo Wu*. Balloon: An Elastic Data Management Strategy for Interlaced Magnetic Recording[J]. Applied Sciences. 2023, 13(17), 9767: 1-19.
  • Song Liu, Zengyuan Zhang, Weiguo Wu. DHTS: A Dynamic Hybrid Tiling Strategy for Optimizing Stencil Computation on GPUs[J]. IEEE Transactions on Computers. 2023, vol.72, no.10, pp.2795-2807.
  • Song Liu, Xinhe Wan, Zengyuan Zhang, Bo Zhao, Weiguo Wu. TurboStencil: You Only Compute Once for Stencil Computation[J]. Future Generation Computer Systems. 2023, vol.146, pp.260-272.
  • Xiangjun Zhang, Weiguo Wu, Zhihe Zhao, Jinyu Wang, Song Liu. RMDDQN-Learning: Computation Offloading Algorithm Based on Dynamic Adaptive Multi-Objective Reinforcement Learning in Internet of Vechicles[J]. IEEE Transactions on Vehicular Technology. 2023 (Accepted).
  • 屈彬, 刘松, 张增源,马洁, 伍卫国. 一种六边形循环分块的Jacobi计算优化方法[J]. 软件学报, 2023(已录用).
  • Chi Zhang, Shiqiang Nie, Jinyu Wang, Song Liu, Weiguo Wu. MCB: A Multidevice Cooperative Buffer Management Strategy for Boosting the Write Performance of the SSD-SMR Hybrid Storage[J]. The Journal of Supercomputing. 2023.
  • Song Liu, Chen Zhang, Shiqiang Nie, Keqiang Duan, Weiguo Wu. PC-Allocation: Performance Cliff-aware Two-level Cache Resource Allocation Scheme for Storage System[J]. Applied Sciences. 2023, 13(6), 3556: 1-12.
  • Song Liu, Shiyuan Yang, Hanze Zhang, Weiguo Wu. A Federated Learning and Deep Reinforcement Learning-Based Method with Two-Agent for Computation Offload[J]. Sensors. 2023, 23(4), 2243.
  • Song Liu, Xiong Wang, Longshuo Hui, and Weiguo Wu. Blockchain-Based Decentralized Federated Learning Method in Edge Computing Environment[J]. Applied Sciences. 2023, 13(3):1677.
  • Song Liu, Jie Ma, Chenyu Zhao, Xinhe Wan, Weiguo Wu. LFWS: Long-Operation First Warp Scheduling Algorithm to Effectively Hide the Latency for GPUs[J]. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 2023,106(8).
  • Song Liu, Yuxiang Chai, Longshuo Hui, Weiguo Wu. Blockchain-Based Anonymous Authentication in Edge Computing Environment[J]. Electronics, 2023, 12(1): 219.
  • Xiangjun Zhang, Weiguo Wu, Song Liu, Jinyu Wang. An Efficient Computation Offloading and Resource Allocation Algorithm in RIS Empowered MEC[J]. Computer Communications, 2023, 197: 113-123.
  • Xiangjun Zhang, Weiguo Wu, Jinyu Wang, Song Liu. BiLSTM-based Federated Learning Computation Offloading and Resource Allocation Algorithm in MEC[J]. ACM Transactions on Sensor Networks, 2023 (accepted).
  • Xinpeng Xu, Hongfei Tao, Weiguo Wu, Song Liu. An Instant Discovery Method for Companion Vehicals based on Incremental and Parallel Calculation[J]. Physica A, 610 (2023), 128420.
  • Song Liu, Chenyu Zhao, Xiaoya An, Kai Gao, Yingjie Ji, Weiguo Wu. Accelerating Ordinary Kriging Interpolation Algorithm on GPUs[C]//Proceedings of IEEE International Conference on Advances in Electrical Engineering and Computer Applications, Dalian, China, August 20-21, 2022: 225-231.  
  • Jinyu Wang, Yifei Kang, Yiwen Li, Weiguo Wu, Song Liu, Longxiang Wang. Hexagonal Tiling based Multiple FPGAs Stencil Computation Acceleration and Optimization Methodology[C]// Proceedings of IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2021: 697-705.
  • Wei Song, Song Liu, Xiaochun Wang, Weiguo Wu. An Improved Sparrow Search Algorithm[C]// Proceedings of 18th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), Exeter, UK: IEEE, December 17-19, 2020: 537-543.
  • 崔元桢, 刘松, 王倩, 伍卫国. 格子玻尔兹曼方法计算程序的循环优化技术研究[J]. 计算机学报, 2020, 43(6): 1086-1102. 
  • 柴晓菲, 刘松, 屈彬, 王倩, 伍卫国. 向量化友好的循环分块因子选择算法[J]. 计算机工程与应用, 2020, 56(15): 37-42.
  • Bin Qu, Song Liu, Hailong Huang, Jiajun Yuan, Qian Wang, Weiguo Wu. Accelerating Lattice Boltzmann Method by Fully Exposing Vectorizable Loops[C]//Proceedings of International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), Melbourne, Australia: Springer, December 9-11, 2019: 107-121. 
  • Song Liu, Yuanzhen Cui, Nianjun Zou, Wenhao Zhu, Dong Zhang, Weiguo Wu. Revisiting the Parallel Strategy for DOACROSS Loops[J]. Journal of Computer Science and Technology, 2019, 34(2): 456-475.
  • Song Liu, Yuanzhen Cui, Qing Jiang, Qian Wang, Weiguo Wu. An Efficient Tile Size Selection Model Based on Machine Learning[J]. Journal of Parallel and Distributed Computing, 2018, 121(2018): 27-41. 
  • Yuanzhen Cui, Song Liu, Nianjun Zou, Weiguo Wu. A Dynamic Parallel Strategy for DOACROSS Loops[C]//Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia), Tokyo, Japan: ACM, January 28-31, 2018: 108-115.
  • 刘松, 赵博, 蒋庆, 伍卫国. 一种面向循环优化和非规则代码段的粗粒度半自动并行化方法[J]. 计算机学报, 2017, 40(9): 2127-2147.
  • 刘松, 伍卫国, 赵博, 蒋庆. 面向局部性和并行优化的循环分块技术[J]. 计算机研究与发展, 2015, 52(5): 1160-1176.
  • Song Liu, Nianjun Zou, Yuanzhen Cui, Weiguo Wu. Accelerating the Parallelization of Lattice Boltzmann Method by Exploiting the Temporal Locality[C]//Proceedings of 15th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), Guangzhou, China: IEEE, December 13-15, 2017: 1186-1193.
  • Song Liu, Xiao Xie, Yuanzhen Cui, Weiguo Wu. An Efficient Locality-Aware Task Assignment Algorithm for Minimizing Shared Cache Contention[C]//Proceedings of 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), Taipei, Taiwan: IEEE, December 18-20, 2017: 44-51.