Course

MATH-505: HPC for numerical methods and data analysis

Summary

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.

Official source

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

Moodle Page

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

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Ontological neighbourhood

Mathematics

Analysis: Numerical analysis

Instructor

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