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Hierarchical Krylov and Nested Krylov Methods for Extreme-Scale Computing Lois Curfman McInnesa , Barry Smitha , Hong Zhanga,b , Richard Tran Millsc,d a Mathematics and Computer Science Division
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Document Date: 2013-10-04 14:39:07


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IBM / Computer Science Division Argonne National Laboratory / PFLOTRAN / AMD / Environmental Sciences Division Oak Ridge National Laboratory / /

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United States / /

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AMD / /

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PETSc library / Bethel Valley Road / Computer Science Illinois Institute of Technology / Computer Science University of Tennessee / Oak Ridge Leadership Computing Facility / /

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similar energy / software engineering / inner solver algorithms / energy groups / large-scale applications / difficult-to-solve algebraic systems / inner products / composable algorithms / vector inner product / matrix-vector products / given energy / geologic media / software strategy / energy / chemical components / Related numerical software / software complexity / energy conservation equations / numerical software complexity / sparse linear systems / vector inner products / solver software library / extreme-scale computing / particular algorithms / porous media / linear systems / positive definite systems / /

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Illinois Institute of Technology / University of Tennessee / Planetary Sciences Department of Electrical Engineering / Department of Earth / /

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Richard Tran Millsc / Lois Curfman McInnesa / Hong Zhanga / Gordon Bell / Barry Smitha / Hong Zhang / /

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PETSc Newton-Krylov / Opteron 6274 processor / Opteron 6274 / /

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inner solver algorithms / 6 Algorithm / Krylov algorithms / Chebyshev algorithm / two specific algorithms / 10 / 000 processor / 6274 processor / simulation / 5 Algorithm / /

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