Solving Large Sparse Linear Systems Efficiently on Grid Computers Using an Asynchronous Iterative Method as a Preconditioner

T. P. Collignon () and M. B. van Gijzen ()
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T. P. Collignon: Delft Institute of Applied Mathematics, Delft University of Technology
M. B. van Gijzen: Delft Institute of Applied Mathematics, Delft University of Technology

A chapter in Numerical Mathematics and Advanced Applications 2009, 2010, pp 261-268 from Springer

Abstract: Abstract This paper describes an efficient iterative algorithm for solving large sparse linear systems on Grid computers. The algorithm is a combination of a synchronous flexible outer iterative method and a coarse-grain asynchronous inner iterative method as a preconditioner. The preconditioning iteration is performed on heterogeneous computing hardware. We present experimental results on a heterogeneous computing grid of a complete implementation using GridSolve as middleware for a 3D convection–diffusion problem.

Keywords: Outer Iteration; Grid Computer; Synchronisation Point; Client Machine; Large Linear System (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-11795-4_27

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DOI: 10.1007/978-3-642-11795-4_27

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