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Faculty

Jiaquan Gao Professor

Academic Area: 
High Performance Computing
Research Interests: 
  • Parallel Computing
  • High Performance Computing
  • Deep Learning
  • Data Analysis and Visualization
  • Computational Intelligence
Bio: 

 

Educational Background:

Visiting Scholar, Georgia Institute of Technology (2011-2012)

Visiting Scholar, McGill University (2007-2008)

PhD, Computer Software and Theory, Institute of Software, CAS (2002)

MA, Computational Mathematics, Institute of Computational Mathematics, CAS (1999)

 

Research

Research Projects

  1. Chinese Natural Science Foundation: Extensible Parallel Optimization Model of Iterative Methods on Heterogeneous Systems and Its Application (Grant No. 61872422) (2019-2022)
  2. Natural Science Foundation of Jiangsu Province: Parallel Framework of Extensible Iterative Methods on GPUs (Grant No. BK20171480) (2017-2020)
  3. Natural Science Foundation of Zhejiang Province: Research on the Parallel Optimization Model for the Iterative Method on GPUs (Grant No. LY17F020021) (2017-2019)
  4. Chinese Natural Science Foundation: Research on Adaptive Evolutionary Computation of Meta Evolution (Grant No. 61573316) (2016-2019)
  5. Chinese Natural Science Foundation: Research on Parallel Structure-Preserving Algorithms Based on CPU/GPU Heterogeneous Platform (Grant No. 61379017) (2014-2017)
  6. Public Welfare Technology Project of Zhejiang Province: Interactive Analysis System of Urban Road Traffic Flow (Grant No. 2014C33077) (2014-2015)
  7. Natural Science Foundation of Zhejiang Province: Research on Parallel Structure-Preserving Algorithms for Electromagnetic Wave Equations (Grant No. LY12A01027) (2012-2013)
  8. 863 Science and Technology Program: Rapid Visualization and Diagnosis Techniques of Earth System Model Output Data (Grant No. 2010AA012402) (2010-2012)

 

Journal Articles

  1. He Guixia, Gao Jiaquan*, Wang Jun. Efficient dense matrix-vector multiplication on GPU. Concurrency and Computation: Practice and Experience, 2018, 30(19): e4705. https://doi.org/10.1002/cpe.4705. (SCI)
  2. Gao Jiaquan et al. A multi-GPU parallel optimization model for the preconditioned conjugate gradient algorithm. Parallel Computing, 2017, 63: 1-16. (SCI)
  3. Gao Jiaquan et al. A novel multi-GPU parallel optimization framework for the sparse matrix-vector multiplication. Concurrency and Computation: Practice and Experience, 2017, 29(5): e3936. https://doi.org/10.1002/cpe.3936. (SCI)
  4. Gao Jiaquan et al. Adaptive optimization L1-minimization solvers on GPU. International Journal of Parallel Programming, 2017, 45(3): 508-529. (SCI)
  5. Gao Jiaquan et al. GPU-accelerated preconditioned GMRES method for two-dimensional Maxwell’s equations. International Journal of Computer Mathematics, 2017, 94(10): 2122-2144. (SCI)
  6. Gao Jiaquan et al. Adaptive optimization modeling of preconditioned conjugate gradient on multi-GPUs. ACM Transactions on Parallel Computing, 2016, 3(3): 16. http://dx.doi.org/10.1145/2990849.
  7. He Guixia and Gao Jiaquan*. A novel CSR-based sparse matrix-vector multiplication on GPUs. Mathematical Problems in Engineering, 2016 (2016) 8471283. http://dx.doi.org/10.1155/2016/8471283. (SCI)
  8. Gao Jiaquan et al. Efficient CSR-based sparse matrix-vector multiplication on GPU. Mathematical Problems in Engineering, 2016(2016): 4596943. http://dx.doi.org/10.1155/2016/4596943. (SCI)
  9. Gao Jiaquan et al. A novel multi-GPU parallel optimization model for the sparse matrix-vector multiplication. Parallel Processing Letters, 2016, 26(4): 1640001: 1-17. (EI)
  10. Gao Jiaquan et al. A Cholesky preconditioned conjugate gradient algorithm on GPU for the 3D parabolic equation. International Journal of Computational Science and Engineering, 2015, 11(4): 339-347. (EI)
  11. He Xianguo, Sun Guodao and Gao Jiaquan*. Visual analytics of road traffic with large scale taxi GPS data. Journal of Computer-Aided Design & Computer Graphics, 2014, 26(12): 1-9. (EI)
  12. Gao Jiaquan et al. A quantum-inspired artificial immune system for the multiobjective 0–1 knapsack problem. Applied Mathematics and Computation, 2014, 230:120-137. (SCI)
  13. Gao Jiaquan et al. Research on the conjugate gradient algorithm with a modified incomplete Cholesky preconditioner on GPU. Journal of Parallel and Distributed Computing, 2014, 74(2): 2088-2098. (SCI)
  14. Gao Jiaquan et al.  A hybrid quantum-inspired immune algorithm for multiobjective optimization, Applied Mathematics and Computation, 2011, 217(9): 4754-4770. (SCI)
  15. Gao Jiaquan et al. WBMOAIS: A novel artificial immune system for multiobjective optimization. Computers & Operations Research, 2010, 37(1): 50-61. (SCI)
  16. Gao Jiaquan. A novel artificial immune system for solving multiobjective scheduling problems subject to special process constraint. Computers & Industrial Engineering, 2010, 58(4): 602-609. (SCI)
  17. Gao Jiaquan et al. A weight-based multiobjective immune algorithm: WBMOIA. Engineering Optimization. 2010, 42(8): 719-745. (SCI)
  18. Gao Jiaquan et al. A new parallel genetic algorithm for solving multiobjective scheduling problems subjected to special process constraint. International Journal of Advanced Manufacturing Technology, 2009, 43(1-2): 151-160. (SCI)

 

Books:

 

  1. Cheng Qingzhang, Bao Weibin & Gao Jiaquan (2004). Computer Network, Hangzhou: Zhejiang University Press.

 

Patents:

  1. Gao Jiaquan et al (2018). A Fast Solution Method for L1-Minimization Problems on GPU. Invention Patent, ZL201610116008.3.
  2. Gao Jiaquan et al (2016). Automatic Generation System Software of Parallel PCG Method Based on CUDA, 2016SR241962.
  3. Gao Jiaquan et al (2016). Fast Face Recognition Software Based on Sparse Algorithm. Software Copyright, 2016SR110427.

 

Honors and Awards

  1. Young academic leaders of Nanjing Normal University(2017)
  2. Second Prize for Science and Technology Progresses: Modeling, Analysis and Clinical Application of Medical Image Data, by Ministry of Education, P. R. China (2014)
  3. Excellent Teaching Quality Teachers of Zhejiang University of Technology (2014)
  4. Prominent Teacher of Computer and Science Technology College, Zhejiang University of Technology (2014)
  5. Outstanding Head Teacher of Computer and Science Technology College, Zhejiang University of Technology (2013)
  6. Excellent Undergraduate Thesis Advisers of Computer and Science Technology College, Zhejiang University of Technology (2010, 2011)
  7. Young academic leaders of Zhejiang University of Technology (2007)
  8. Zhejiang Province "151 Talents" Third Levels (2005)

 

 

Academic Title:

Professor of Nanjing Normal University

Director of Computer and Science Technology, Nanjing Normal University

CCF High Performance Computing Committee Member

CCF Senior Member

ACM Member

IEEE Transactions on Parallel and Distributed Systems(TPDS), IEEE Transaction on Systems Man and Cybernetics Part B(TSMC-B), IEEE Transactions on Magnetics(TMAG), Computers & Operations Research(COR) et al Reviewer

 

Contact:

+86 18252013680

springf12@163.com

73025@njnu.edu.cn