Tongxiang Gu
Orcid: 0000-0002-6175-7061
According to our database1,
Tongxiang Gu
authored at least 36 papers
between 2000 and 2023.
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Bibliography
2023
CCF Trans. High Perform. Comput., September, 2023
XHYPRE: a reliable parallel numerical algorithm library for solving large-scale sparse linear equations.
CCF Trans. High Perform. Comput., June, 2023
Parallel Comput., February, 2023
Pre-training strategy for solving evolution equations based on physics-informed neural networks.
J. Comput. Phys., 2023
A deep learning method for multi-material diffusion problems based on physics-informed neural networks.
CoRR, 2023
Comparison of Reproducible Parallel Preconditioned BiCGSTAB Algorithm Based on ExBLAS and ReproBLAS.
Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2023
2022
J. Comput. Appl. Math., 2022
2021
Proceedings of the Network and Parallel Computing, 2021
2020
2018
The convergence theory for the restricted version of the overlapping Schur complement preconditioner.
Appl. Math. Comput., 2018
2016
Multi-core parallel robust structured multifrontal factorization method for large discretized PDEs.
J. Comput. Appl. Math., 2016
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2016
2015
Overlapping restricted additive Schwarz method with damping factor for H-matrix linear complementarity problem.
Appl. Math. Comput., 2015
On the Memory Wall and Performance of Symmetric Sparse Matrix Vector Multiplications In Different Data Structures on Shared Memory Machines.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015
2014
J. Parallel Distributed Comput., 2014
An improved generalized conjugate residual squared algorithm suitable for distributed parallel computing.
J. Comput. Appl. Math., 2014
Convergence of Relaxed Matrix Parallel Multisplitting Chaotic Methods for H-Matrices.
J. Appl. Math., 2014
Minimizing synchronizations in sparse iterative solvers for distributed supercomputers.
Comput. Math. Appl., 2014
Convergence improvement of relaxed multisplitting USAOR methods for H-matrices linear systems.
Appl. Math. Comput., 2014
Improved convergence theorems of multisplitting methods for the linear complementarity problem.
Appl. Math. Comput., 2014
2011
Int. J. Comput. Math., 2011
2010
Conjugate residual squared method and its improvement for non-symmetric linear systems.
Int. J. Comput. Math., 2010
Appl. Math. Comput., 2010
2009
Int. J. Comput. Math., 2009
New block triangular preconditioner for linear systems arising from the discretized time-harmonic Maxwell equations.
Comput. Phys. Commun., 2009
2008
Int. J. Comput. Math., 2008
Appl. Math. Comput., 2008
2007
A class of preconditioners based on the (I+S(alpha))-type preconditioning matrices for solving linear systems.
Appl. Math. Comput., 2007
An improved bi-conjugate residual algorithm suitable for distributed parallel computing.
Appl. Math. Comput., 2007
2006
A parallel version of QMRCGSTAB method for large linear systems in distributed parallel environments.
Appl. Math. Comput., 2006
2005
Int. J. Comput. Math., 2005
2004
Multiple search direction conjugate gradient method II: theory and numerical experiments.
Int. J. Comput. Math., 2004
Multiple search direction conjugate gradient method I: methods and their propositions.
Int. J. Comput. Math., 2004
2003
Int. J. Comput. Math., 2003
2000