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MATH-505: HPC for numerical methods and data analysis

Résumé

The objective of this course is to provide the necessary background for designing efficient parallel algorithms in scientific computing as well as in the analysis of large volumes of data. The operations considered are the most costly steps at the heart of many complex numerical simulations.

Séances de cours

Enseignant·e

Laura Grigori

Source officielle

https://edu.epfl.ch/coursebook/fr/hpc-for-numerical-methods-and-data-analysis-MATH-505

Page Moodle

http://go.epfl.ch/MATH-505

À propos de ce résultat

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Résumé

Séances de cours

Enseignant·e

Laura Grigori

Source officielle

https://edu.epfl.ch/coursebook/fr/hpc-for-numerical-methods-and-data-analysis-MATH-505

Page Moodle

http://go.epfl.ch/MATH-505

À propos de ce résultat

Proximité ontologique

Mathématiques

Analyse (mathématiques): Analyse numérique

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