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Scalable and Portable LU Factorization with Partial Pivoting on top of Runtime Systems

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alycia-lisito

Toward an algebraic multigrid method for the indefinite Helmholtz equation

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robert-d-falgout

Sparse supernodal solver using block low-rank compression: Design, performance and analysis

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gregoire-pichon

Utilisation de techniques de compression low-rank pour un solveur parallèle direct creux

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pierre-ramet

Utilisation de la compression low-rank pour réduire la complexité du solveur PaStiX

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g.-pichon

Utilisation de la compression Block Low-Rank pour accélérer un solveur direct creux supernodal

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g.-pichon

Heterogeneous architectures, Hybrid methods, Hierarchical matrices for Sparse Linear Solvers

Sparse direct solvers is a time consuming operation required by many scientific applications to simulate physical problems. By its important overall cost, many studies tried to …

p.-ramet

Sparse supernodal solver with low-rank compression for solving the frequency-domain Maxwell equations discretized by a high order HDG method

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g.-pichon

Blocking strategy optimizations for sparse direct linear solver on heterogeneous architectures

In the context of solving sparse linear systems, an ordering process partitions the matrix graph to minimize both fill-in and computational cost. We found that the ordering …

m.-faverge

PaStiX: Parallel Sparse Matrix Package

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m.-faverge