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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 Interests:

Parallel Computing

High Performance Computing

Deep Learning

Data Analysis and Visualization

Computational Intelligence

 

 

Research Projects:

  • Natural Science Foundation of Jiangsu Province: Parallel Framework of extensible iterative methods on GPUs (Grant No. BK20171480) (2017-2020)
  • Natural Science Foundation of Zhejiang Province: Research on the parallel optimization model for the iterative method on GPUs (Grant No. LY17F020021) (2017-2019)
  • Chinese Natural Science Foundation: Research on Adaptive Evolutionary Computation of Meta Evolution (Grant No. 61573316) (2016-2019)
  • Chinese Natural Science Foundation: Research on Parallel Structure-Preserving Algorithms Based on CPU/GPU Heterogeneous Platform (Grant No. 61379017) (2014-2017)
  • Public Welfare Technology Project of Zhejiang Province: Interactive Analysis System of Urban Road Traffic Flow (Grant No. 2014C33077) (2014-2015)
  • Natural Science Foundation of Zhejiang Province: Research on Parallel Structure-Preserving Algorithms for Electromagnetic Wave Equations (Grant No. LY12A01027) (2012-2013)
  • 863 Science and Technology Program: Rapid Visualization and Diagnosis Techniques of Earth System Model Output Data (Grant No. 2010AA012402) (2010-2012)

 

Journal Articles:

  • Gao Jiaquan et al. A multi-GPU parallel optimization model for the preconditioned conjugate gradient algorithm. Parallel Computing, 2017, 63: 1-16. (SCI)
  • 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: 1- e3936: 13. (SCI)
  • Gao Jiaquan et al. Adaptive optimization L1-minimization solvers on GPU. International Journal of Parallel Programming, 2017, 45(3): 508-529. (SCI)
  • 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)
  • Gao Jiaquan et al. Adaptive optimization modeling of preconditioned conjugate gradient on multi-GPUs. ACM Transactions on Parallel Computing, 2016, 3(3): 16: 1-16: 32.
  • He Guixia and Gao Jiaquan* (2016). A Novel CSR-Based Sparse Matrix-Vector Multiplication on GPUs. Mathematical Problems in Engineering, 2016, 2016: 8471283: 1-8471283: 12. (SCI)
  • Gao Jiaquan et al. Efficient CSR-based sparse matrix-vector multiplication on GPU. Mathematical Problems in Engineering, 2016, 2016: 4596943: 1-4596943: 14. (SCI)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • Gao Jiaquan et al.  A hybrid quantum-inspired immune algorithm for multiobjective optimization, Applied Mathematics and Computation, 2011, 217(9): 4754-4770. (SCI)
  • Gao Jiaquan et al. WBMOAIS: A novel artificial immune system for multiobjective optimization. Computers & Operations Research, 2010, 37(1): 50-61. (SCI)
  • 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)
  • Gao Jiaquan et al. A weight-based multiobjective immune algorithm: WBMOIA. Engineering Optimization. 2010, 42(8): 719-745. (SCI)
  • 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:

 

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

 

Patents:

  • Gao Jiaquan et al (forthcoming). A Fast Solution Method for L1-Minimization Problems on GPU. Invention Patent, 201610116008.3.
  • Gao Jiaquan et al (2016). Automatic Generation System Software of Parallel PCG Method Based on CUDA, 2016SR241962.
  • Gao Jiaquan et al (2016). Fast Face Recognition Software Based on Sparse Algorithm. Software Copyright, 2016SR110427.

 

Honors and Awards:

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

 

 

Academic Title:

Professor of Computer and Science Technology

CCF High Performance Computing Committee Member

CCF Senior Member

ACM Member

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