Publications

G. Pichon, E. Darve, M. Faverge, P. Ramet, J. Roman (2018). Supernodes ordering to enhance Block Low-Rank compression in sparse direct solvers.
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Gregoire Pichon (2018). On the use of low-rank arithmetic to reduce the complexity of parallel sparse linear solvers based on direct factorization techniques.
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G. Pichon, M. Faverge, P. Ramet, J. Roman (2018). Utilisation de la compression low-rank pour réduire la complexité du solveur PaStiX.
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G. Pichon, E. Darve, M. Faverge, P. Ramet, J. Roman (2018). Utilisation de la compression Block Low-Rank pour accélérer un solveur direct creux supernodal.
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G. Pichon, E. Darve, M. Faverge, P. Ramet, J. Roman (2018). Sparse supernodal solver using block low-rank compression: Design, performance and analysis. International Journal of Computational Science and Engineering.
URL DOI
G. Pichon, E. Darve, M. Faverge, P. Ramet, J. Roman (2018). Supernodes ordering to enhance Block Low-Rank compression in sparse direct solvers. PMAA 2018 - 10th International Workshop on Parallel Matrix Algorithms and Applications.
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P. Ramet (2018). Heterogeneous architectures, Hybrid methods, Hierarchical matrices for Sparse Linear Solvers.
G. Pichon, E. Darve, M. Faverge, P. Ramet, J. Roman (2017). Sparse Supernodal Solver Using Block Low-Rank Compression: design, performance and analysis.
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G. Pichon, E. Darve, M. Faverge, S. Lanteri, P. Ramet, et al. (2017). 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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P. Ramet (2017). Heterogeneous architectures, Hybrid methods, Hierarchical matrices for Sparse Linear Solvers.
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