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The conjugate gradient solver accelerated by GPU for solving wave-propagation problems

Chao Chen

@article{chen2011conjugate,

   title={The conjugate gradient solver accelerated by GPU for solving wave-propagation problems},

   author={Chen, C.},

   year={2011}

}

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There are several possibilities to speed-up an iterative solver, e.g. by applying an efficient preconditioner to decrease the number of required iterations, or by parallelizing the given algorithm, etc. To acquire maximum performance from a massively parallelized environment, different parts of such a solver must be asynchronously parallelized to avoid expensive cooperation between threads. The aim of this work is to introduce a parallel computing environment, the Graphic Processing Unit (GPU) [1, 2], to accelerate the matrix multiplication of the conjugate gradient solver applied to wave propagation problems.
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