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In this presentation we discuss the AmgX iterative solve framework, which includes implementation of two forms of Algebraic Multigrid (AMG), Krylov subspace methods, as well as parallel variants of typical smoothers and preconditioners. The goal of AmgX is to fully utilize the hardware capabilities of large GPU-­‐ accelerated clusters, especially for(More)
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