Sparse

Fast Algorithms for Dense Linear Algebra

In recent years there has been a resurgence in direct methods to solve linear systems. These methods can have many advantages compared to iterative solvers; in particular their accuracy and performance is less sensitive to the distribution of …

Fast direct linear solvers for the boundary element method

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Nested Dissection with Balanced Halo

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Toward parallel scalable linear solvers suited for large scale hierarchical parallel platforms

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Taking advantage of hybrid systems for sparse direct solvers via task-based runtimes

The ongoing hardware evolution exhibits an es- calation in the number, as well as in the heterogeneity, of computing resources. The pressure to maintain reasonable levels of performance and portability forces application de- velopers to leave the …

Taking advantage of hybrid systems for sparse direct solvers via task-based runtimes

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Parallel Numerical Solvers on top of Runtime Systems

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Sparse Linear Algebra over DAG Runtimes

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From hybrid architectures to hybrid solvers

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Towards Domain Decomposition with Balanced Halo

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