Solving finite difference linear systems on GPUs: CUDA based Parallel Explicit Preconditioned Biconjugate Conjugate Gradient type Methods

@article{Gravvanis2011SolvingFD,
  title={Solving finite difference linear systems on GPUs: CUDA based Parallel Explicit Preconditioned Biconjugate Conjugate Gradient type Methods},
  author={George A. Gravvanis and C. K. Filelis-Papadopoulos and Konstantinos M. Giannoutakis},
  journal={The Journal of Supercomputing},
  year={2011},
  volume={61},
  pages={590-604}
}
During the last decades, explicit approximate inverse preconditioning methods have been used for efficiently solving sparse linear systems on multiprocessor systems. The effectiveness of explicit approximate inverse preconditioning schemes relies on the use of efficient preconditioners that are close approximants to the coefficient matrix and are fast to compute in parallel. A new parallel computational technique is proposed for the parallelization of the explicit preconditioned conjugate… CONTINUE READING
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