![Numerical linear algebra / Krylov subspace / Generalized minimal residual method / Iterative method / Biconjugate gradient stabilized method / Preconditioner / Matrix / Lis / Sparse matrix / Conjugate gradient method / IML++ / Arnoldi iteration Numerical linear algebra / Krylov subspace / Generalized minimal residual method / Iterative method / Biconjugate gradient stabilized method / Preconditioner / Matrix / Lis / Sparse matrix / Conjugate gradient method / IML++ / Arnoldi iteration](https://www.pdfsearch.io/img/1e7092af31c2b9905f008b3e9c31eb5c.jpg) Date: 2016-04-04 12:47:33Numerical linear algebra Krylov subspace Generalized minimal residual method Iterative method Biconjugate gradient stabilized method Preconditioner Matrix Lis Sparse matrix Conjugate gradient method IML++ Arnoldi iteration | | Efficiency of general Krylov methods on GPUs – An experimental study Hartwig Anzt, Jack Dongarra University of Tennessee Knoxville, TN, USA {hanzt,dongarra}@icl.utk.eduAdd to Reading ListSource URL: icl.cs.utk.eduDownload Document from Source Website File Size: 285,28 KBShare Document on Facebook
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