论文信息 - Efficient Preconditioned Conjugate Gradient Parallelization on GPU - 字舞流文

Efficient Preconditioned Conjugate Gradient Parallelization on GPU

V. C. Silva | Ana Flavia Peixoto de Camargos

[1] Michael Garland,et al. Eﬃcient Sparse Matrix-Vector Multiplication on CUDA , 2008 .

[2] Maxim Naumov,et al. Incomplete-LU and Cholesky Preconditioned Iterative Methods Using CUSPARSE and CUBLAS , 2012 .

[3] Jonas Koko,et al. Parallel preconditioned conjugate gradient algorithm on GPU , 2012, J. Comput. Appl. Math..

[4] K. Watanabe,et al. Iterative Solver for Linear System Obtained by Edge Element: Variable Preconditioned Method With Mixed Precision on GPU , 2012, IEEE Transactions on Magnetics.

[5] D. Lowther,et al. Understanding the efficiency of parallel incomplete Cholesky preconditioners on the performance of ICCG solvers for multi-core and GPU systems , 2010, Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation.

[6] Yousef Saad,et al. GPU-accelerated preconditioned iterative linear solvers , 2013, The Journal of Supercomputing.

[7] Yousef Saad,et al. Iterative methods for sparse linear systems , 2003 .

[8] John D. Owens,et al. GPU Computing , 2008, Proceedings of the IEEE.

[9] Wolfgang Straßer,et al. A Parallel Preconditioned Conjugate Gradient Solver for the Poisson Problem on a Multi-GPU Platform , 2010, 2010 18th Euromicro Conference on Parallel, Distributed and Network-based Processing.