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Publications about 'Low-rank compression'
Thesis
  1. Esragul Korkmaz. Improving the memory and time overhead of low-rank parallel linear sparse direct solvers. Theses, Université de Bordeaux, September 2022. Keyword(s): Low-Rank compression. [Abstract] [bibtex-entry]


  2. Gregoire Pichon. On the use of low-rank arithmetic to reduce the complexity of parallel sparse linear solvers based on direct factorization techniques. Theses, Université de Bordeaux, November 2018. Keyword(s): Low-Rank compression. [Abstract] [bibtex-entry]


Articles in journal, book chapters
  1. G. Pichon, E. Darve, M. Faverge, P. Ramet, and J. Roman. Sparse supernodal solver using block low-rank compression: Design, performance and analysis. International Journal of Computational Science and Engineering, 27:255 - 270, July 2018. Keyword(s): Low-rank compression. [bibtex-entry]


Conference articles
  1. Esragul Korkmaz, Mathieu Faverge, Grégoire Pichon, and Pierre Ramet. Deciding Non-Compressible Blocks in Sparse Direct Solvers using Incomplete Factorization. In HiPC 2021 - 28th IEEE International Conference on High Performance Computing, Data, and Analytics, Bangalore, India, pages 1-10, December 2021. IEEE. Keyword(s): Low-rank compression. [bibtex-entry]


  2. P. Ramet. Study of the recent developments around the PaStiX solver for the EoCoE project: distributed mem- ory, runtime systems, and low-rank. In 32nd International Conference on Parallel Computational Fluid Dynamics, Nice, France, May 2021. Keyword(s): Sparse. [Abstract] [bibtex-entry]


  3. G. Pichon, E. Korkmaz, M. Faverge, and P. Ramet. Recent Developments Around the Block Low-Rank PaStiX Solver. In 19th SIAM Conference on Parallel Processing for Scientific Computing, Seattle, USA, February 2020. Note: Minisymposium on Low-Rank Compression-Based Fast Sparse Direct Solvers. Keyword(s): Low-rank compression. [bibtex-entry]


  4. M. Faverge, G. Pichon, and P. Ramet. Exploiting Parameterized Task-graph in Sparse Direct Solvers. In SIAM Conference on Computational Science and Engineering (CSE19), Spokane, United States, February 2019. Keyword(s): Low-rank compression. [Abstract] [bibtex-entry]


  5. G. Pichon, E. Darve, M. Faverge, P. Ramet, and J. Roman. Block Low-rank Algebraic Clustering for Sparse Direct Solvers. In SIAM Conference on Computational Science and Engineering (CSE19), Spokane, United States, February 2019. Keyword(s): Low-rank compression. [Abstract] [bibtex-entry]


  6. G. Pichon, E. Darve, M. Faverge, P. Ramet, and J. Roman. Supernodes ordering to enhance Block Low-Rank compression in sparse direct solvers. In PMAA 2018 - 10th International Workshop on Parallel Matrix Algorithms and Applications, Zurich, Swiss, June 2018. Keyword(s): Low-rank compression. [Abstract] [bibtex-entry]


  7. G. Pichon. Utilisation de la compression Block Low-Rank pour accélérer un solveur direct creux supernodal. In COMPAS 2017, Sophia Antipolis, France, June 2017. Keyword(s): Low-rank compression. [bibtex-entry]


  8. G. Pichon, E. Darve, M. Faverge, P. Ramet, and J. Roman. Sparse Supernodal Solver Using Block Low-Rank Compression. In 18th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2017), Orlando, United States, June 2017. Keyword(s): Low-rank compression. [bibtex-entry]


  9. G. Pichon, E. Darve, M. Faverge, P. Ramet, and J. Roman. Sparse Supernodal Solver exploiting Low-Rankness Property. In Sparse Days 2017, Toulouse, France, September 2017. Keyword(s): Low-rank compression. [Abstract] [bibtex-entry]


  10. G. Pichon, E. Darve, M. Faverge, P. Ramet, and J. Roman. Exploiting H-Matrices in Sparse Direct Solvers. In SIAM Conference on Parallel Processing for Scientific Computing, Paris, France, April 2016. Keyword(s): Low-rank compression. [Abstract] [bibtex-entry]


  11. G. Pichon, E. Darve, M. Faverge, P. Ramet, and J. Roman. On the use of low rank approximations for sparse direct solvers. In SIAM Annual Meeting, Boston, USA, July 2016. Keyword(s): Low-rank compression. [Abstract] [bibtex-entry]


  12. G. Pichon, E. Darve, M. Faverge, P. Ramet, and J. Roman. Sparse Supernodal Solver Using Hierarchical Compression. In Workshop on Fast Direct Solvers, Purdue, USA, November 2016. Keyword(s): Low-rank compression. [Abstract] [bibtex-entry]


  13. M. Faverge, G. Pichon, P. Ramet, and J. Roman. On the use of H-Matrix Arithmetic in PaStiX: a Preliminary Study. In Workshop on Fast Solvers, Toulouse, France, June 2015. Keyword(s): Low-rank compression. [Abstract] [bibtex-entry]


Internal reports
  1. Esragul Korkmaz, Mathieu Faverge, Grégoire Pichon, and Pierre Ramet. Reaching the Quality of SVD for Low-Rank Compression Through QR Variants. Research Report RR-9476, Inria Bordeaux - Sud Ouest, July 2022. Keyword(s): Randomized. [bibtex-entry]


  2. Esragul Korkmaz, Mathieu Faverge, Grégoire Pichon, and Pierre Ramet. Deciding Non-Compressible Blocks in Sparse Direct Solvers using Incomplete Factorization. Research Report RR-9396, Inria Bordeaux - Sud Ouest, 2021. Keyword(s): Low-rank compression. [bibtex-entry]


  3. G. Pichon, E. Darve, M. Faverge, P. Ramet, and J. Roman. Supernodes ordering to enhance Block Low-Rank compression in sparse direct solvers. Research Report RR-9238, Inria Bordeaux Sud-Ouest, December 2018. Keyword(s): Low-rank compression. [bibtex-entry]


  4. G. Pichon, E. Darve, M. Faverge, P. Ramet, and J. Roman. Sparse Supernodal Solver Using Block Low-Rank Compression. Research Report RR-9022, Inria Bordeaux Sud-Ouest, January 2017. Keyword(s): Low-rank compression. [bibtex-entry]


  5. G. Pichon, E. Darve, M. Faverge, P. Ramet, and J. Roman. Sparse Supernodal Solver Using Block Low-Rank Compression: design, performance and analysis. Research Report RR-9130, Inria Bordeaux Sud-Ouest, December 2017. Keyword(s): Low-rank compression. [bibtex-entry]


Miscellaneous
  1. Grégoire Pichon, E Darve, Mathieu Faverge, Esragul Korkmaz, Pierre Ramet, and Jean Roman. Sparse supernodal solver using block low-rank compression: Design, performance and analysis. JOREK development meeting, November 2019. Keyword(s): Low-rank compression. [bibtex-entry]


  2. G. Pichon, E. Darve, M. Faverge, P. Ramet, and J. Roman. Utilisation de la compression Block Low-Rank pour accélérer un solveur direct creux supernodal. COMPAS 2018 - SOLHAR final meeting, Toulouse, France, July 2018. Keyword(s): Low-rank compression. [bibtex-entry]


  3. G. Pichon, M. Faverge, P. Ramet, and J. Roman. Utilisation de la compression low-rank pour réduire la complexité du solveur PaStiX. JCAD 2018 - Journées Calcul et Données, Lyon, France, October 2018. Keyword(s): Low-rank compression. [bibtex-entry]


  4. P. Ramet. Heterogeneous architectures, Hybrid methods, Hierarchical matrices for Sparse Linear Solvers. Seminar at Stanford, April 2018. [Abstract] [bibtex-entry]


  5. G. Pichon, E. Darve, M. Faverge, S. Lanteri, P. Ramet, and J. Roman. Sparse supernodal solver with low-rank compression for solving the frequency-domain Maxwell equations discretized by a high order HDG method. Journées jeunes chercheur-e-s - Résolution de problèmes d'ondes harmoniques de grande taille, November 2017. Keyword(s): Low-rank compression. [bibtex-entry]



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Last modified: Tue Apr 4 11:58:35 2023
Author: ramet.


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