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Showing 1 to 3 of 3 for “"Sparse solvers"”.
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Reducing communication in sparse solvers
Sparse matrix operations dominate the cost of many scientific applications. In parallel, the performance and scalability of these operations is limited by irregular point-to-point communication. Multiple methods are investigated throughout this dissertation for reducing the cost associated with …
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Vector and parallel algorithms for chemical process simulation on supercomputers
… equation-based models is the solution of a large sparse linear system of equations. Most of the currently used sparse solvers were developed for use on conventional serial machines and these do not take full advantage of the power of modern parallel-vector supercomputers.
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A Framework for Grid Solvers
… of an object-oriented framework for grid solvers is presented. Unlike conventional sparse solvers, a grid solver solves the sparse linear system embedded in a computational grid without creating the sparse matrix explicitly at any stage of the solution process. This allows it to take …