Laura Grigori

Teaching


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Spring 2017

  • High performance computing, large scale linear algebra algorithms, numerical stability , UPMC, Master 2 Mathematics and Applications.
  • Fall 2016

  • Guest lecture in class on "High Performance Computing: advanced programming and algorithms", UPMC Master in Computer Science, december 2016:
    Lecture 1 and 2, Lecture 3.
  • Spring 2016

  • Co-teaching CS294 class on Communication Avoiding Algorithms, UC Berkeley, offered for both students in Mathematics and Computer Science. Schedule.
  • Guest lecture in CS294 class on "Randomized Algorithms in Linear Algebra" of Ravi Kannan, November 24, 11-12:30 PM, slides .
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    Spring 2015

  • Guest lecturer in CS267, UC Berkeley, Spring 2015 (lectures 13 to 16), videos here.
  • Lecture 13 on Communication Avoiding Algorithms in Linear Algebra, the slides
  • Lecture 14 on Graph partitioning
  • Lecture 15 on Sparse Direct Solvers, the slides
  • Lecture 16 on Sparse Iterative Solvers, the slides
  • Reading group on Randomized numerical linear algebra, UC Berkeley
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    Spring 2014

  • High performance computing, large scale linear algebra algorithms, numerical stability , UPMC, Master 2 Mathematics and Applications, since 2014 (not in 2015).
  • Previous teaching

  • Course on High performance computing, Master in Computer Science, University Paris XI, 2007 - 2012.
  • Course on Parallel Computing, 2008 - 2012, University Paris XI, IFIPS Engineering school, 3rd year.
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    Summer schools

  • 1-hour lecture at the Data Science Summer School, 2017, Polytechnique, Paris
  • 4-hour lecture at the XVII Jacques-Louis Lions Spanish-French School on Numerical Simulation in Physics and Engineering, June 2016, Gijon, Spain.
  • Journees Nationales de Calcul Formel, 3 au 7 novembre 2014, CIRM, France. Overview of parallel algorithms for numerical linear algebra, 3 hours.
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    INRIA INRIA Paris - Rocquencourt
    Laboratoire J. L. Lions
    Universite Pierre et Marie Curie
    Contact: Laura Grigori (Laura(dot)Grigori(at)inria(dot)fr)

    © 2007 rs