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Publications of Esragul Korkmaz
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]


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. 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]


  3. Esragul Korkmaz, Mathieu Faverge, Grégoire Pichon, and Pierre Ramet. Rank Revealing QR Methods for Sparse Block Low Rank Solvers. In COMPAS 2019 - Conférence d'informatique en Parallélisme, Architecture et Système, Anglet, France, June 2019. Keyword(s): Randomized. [bibtex-entry]


  4. Esragul Korkmaz, Mathieu Faverge, Grégoire Pichon, and Pierre Ramet. Rank Revealing QR Methods for Sparse Block Low Rank Solvers. In Sparse Days 2019, Toulouse, France, July 2019. Keyword(s): Randomized. [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]


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]



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


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