特聘研究员，博士生导师，湖南大学编译技术研究中心主任。从事高性能计算、程序语言与编译优化技术、编程模型、大规模数据处理、AI编程框架的研究。正在招收硕士和博士研究生，欢迎有科研热情的同学联系我，科研经费和名额充足。与华为成立创新实验室，可推荐到华为实习。学生毕业大部分进入百度、华为、阿里等头部企业，就业前景良好。

电子邮件：wangfeng AT hnu.edu.cn; wfdata AT 163.com

2021.05~至今 湖南大学信息科学与工程学院 特聘研究员

2002.12~2017.03 国防科学技术大学计算机学院 研究实习员、助理研究员、副研究员

2010.08~2011.08 澳大利亚新南威尔士大学 国家公派访问学者

[1]基于国产E级计算机的多功能药物设计与优化平台，2022年，纵向课题

[2]嵌入式处理器软件工具链研究，2022年，纵向课题

[3]编译器CodeSize优化技术合作项目，2022年，横向课题

[4] Fortran语言多线程并行编程技术，2021年，横向课题

[5]操作系统与工具链定制开发，2021年，横向课题

[6]类脑芯片模拟器软件开发，2021年，横向课题

[7]面向国产处理器的并行程序综合优化技术与系统，2012年至2015年，国家科技部高技术研究发展中心（863计划）

[8]高效能计算应用支撑软件框架体系研制，2012年至2015年，国家科技部高技术研究发展中心（863计划）

[9] “天河”新一代高性能计算机系统研制（“天河-2”），2012年至2015年，国家科技部高技术研究发展中心（863计划）

[10]千万亿次高效能计算机系统研制（“天河-1”），2009年至2010年，国家科技部高技术研究发展中心（863计划）

[1] Huadi Zheng, Cheng Li, Xin Zhou, Wei Wang, Yuanhang Yu, Feng Wang and Yan Ding: MirageNet: A Secure, Efficient, and Scalable DNN Protection for Edge-Computing Multimedia Retrieval. Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR'26, (2026).

[2] Shihan Yuan, Zuoyan Zhang, Guanghui Song, Junhui Peng, Feng Wang, Zhuo Tang, Kenli Li, Jie Zhao: A Decoupled Analytical Model for Tile Size Selection in Affine Programs. ACM Transactions on Architecture and Code Optimization (CCF A), (2026).

[3] Qi Du,Feng Wang, Chengkun Wu: Parallelization Strategies for DeepMD-kit UsingOpenMP: Enhancing Efficiency in MachineLearning-Based Molecular Simulations. IEEE Transactions on Computers.（CCF A）, 3534-3545.(2025)

[4] Qi Du, Feng Wang, Chengkun Wu, Han Wang, Yongpeng Liu, Zhaoyin Zhou, Kenli Li: Scaling Deep Learning Molecular Dynamics to 500M Atoms on 4096-Node ARMv8 Clusters. 2025 The IEEE International Conference on Cluster Computing (Cluster), (2025). Best Paper Award.

[5] Qi Du, Feng Wang, Hui Huang, Jinlin Chen: Improving LAMMPS performance for molecular dynamic simulation on large-scale HPC systems. The Computer Journal, 706–716. (2025)

[6] Shaobai Yuan, Jihong He, Yihui Xie, Feng Wang, Jie Zhao: Post-Link Outlining for Code Size Reduction. CC 2025: 154-166 (2025)

[7] Qingyu Gao, Liantao Song, Yan Lei, Feng Wang, Lei Wang, Shize Zong, Yan Ding. Enhancing Consistency in Container Migration via TEE: A Secure Architecture. 2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom): 21-28 (2024)

[8] Qi Du, Feng Wang, Hui Huang, Heng Wan, Xiaoyu Wu, Chengkun Wu: Exploring Natural Language Processing Model Acceleration in Molecular Dynamics Simulation Using High-Performance Computing and Machine Learning. BIBM 2024: 1479-1484 (2024)

[9] Zhijie Yang, Lei Wang, Wei Shi, Yao Wang, Junbo Tie, Feng Wang, Xiang Yu, LingHui Peng, Chao Xiao, Xun Xiao, Yao Yao, Gan Zhou, Xuhu Yu, Rui Gong, Xia Zhao, Yuhua Tang, Weixia Xu: Back to Homogeneous Computing: A Tightly-Coupled Neuromorphic Processor With Neuromorphic ISA. IEEE Trans. Parallel Distributed Syst. 34(11): 2910-2927 (2023)

[10]姜浩,杜琦,郭敏,全哲,左克,王锋,杨灿群.面向ARMv8 64位多核处理器的QGEMM设计与实现[J].计算机学报,2017,40(9):2018-2029.

[11]孙海燕,陈跃跃,王锋,杨灿群,阳柳,王霁: TI DSP C语言编译器正确性测试.计算机科学42(Z6): 513-515 (2015)

[12] Hao Jiang, Feng Wang, Kuan Li, Canqun Yang, Kejia Zhao, Chun Huang: Implementation of an Accurate and Efficient Compensated DGEMM for 64-bit ARMv8 Multi-Core Processors. ICPADS 2015: 491-498

[13] Feng Wang, Hao Jiang, Ke Zuo, Xing Su, Jingling Xue, Canqun Yang: Design and Implementation of a Highly Efficient DGEMM for 64-Bit ARMv8 Multi-core Processors. ICPP 2015: 200-209

[14] Hao Jiang, Feng Wang, Yunfei Du and Lin Peng: Fast Implementation of Quad-Precision GEMM on ARMv8 64-bit Multi-Core Processor. 16th GAMM-IMACS International Symposium on Scientific Computing, Computer Arithmetic and Validated Numerics (SCAN) (2014）

[15] Xiangke Liao, Canqun Yang, Tao Tang, Huizhan Yi, Feng Wang, Qiang Wu, Jingling Xue: OpenMC: Towards Simplifying Programming for TianHe Supercomputers. J. Comput. Sci. Technol. 29(3): 532-546 (2014)

[16]易会战,王锋,左克,等.基于内存缓存的异步检查点容错技术[J].计算机研究与发展,2014,51(6):1229-1239.

[17]王锋，杜云飞，陈娟. GPGPU性能模型研究[J].计算机工程与科学, 2013, 35(12): 1-7.

[18] Canqun Yang, Qiang Wu, Tao Tang, Feng Wang, Jingling Xue. (2013). Programming for scientific computing on peta-scale heterogeneous parallel systems. Journal of Central South University, 20(2013), 1189–1203.

[19] Peng Di, Hui Wu, Jingling Xue, Feng Wang, Canqun Yang: Parallelizing SOR for GPGPUs using alternate loop tiling. Parallel Comput. 38(6-7): 310-328 (2012)

[20]刘勇鹏,王锋,卢凯,等.面向异构并行计算系统的流水线式压缩检查点[J].电子学报, 2012, 40(002):223-229.

[21] Qiang Wu, Canqun Yang, Feng Wang, Jingling Xue: A Fast Parallel Implementation of Molecular Dynamics with the Morse Potential on a Heterogeneous Petascale Supercomputer. IPDPS Workshops 2012: 140-149

[22] Feng Wang, Canqun Yang, Yunfei Du, Juan Chen, Huizhan Yi, Weixia Xu: Optimizing Linpack Benchmark on GPU-Accelerated Petascale Supercomputer. J. Comput. Sci. Technol. 26(5): 854-865 (2011)

[23]杨灿群，王锋，杜云飞. Cell处理器上的软件Cache研究[J].计算机工程与科学, 2011, 33(2): 46-50.

[24] Canqun Yang, Feng Wang, Yunfei Du, Juan Chen, Jie Liu, Huizhan Yi, Kai Lu: Adaptive Optimization for Petascale Heterogeneous CPU/GPU Computing. CLUSTER 2010: 19-28 (Best Paper Award)

[25] Canqun Yang, Zhen Ge, Juan Chen, Feng Wang, Yunfei Du: Solving 2D Nonlinear Unsteady Convection-Diffusion Equations on Heterogenous Platforms with Multiple GPUs. ICPADS 2009: 961-966

[26]杨灿群,王锋,彭林,杨学军.用表驱动算法在GCC中优化实现指数函数[J].计算机工程与科学,2007,29(5):77-80

[27]王锋,杨灿群.编译器前端乘幂运算的实现与优化[J].计算机工程与应用, 2004, 40(36): 47-49.