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PHYS-743: Parallel programming

Résumé

Learn the concepts, tools and API's that are needed to debug, test, optimize and parallelize a scientific application on a cluster from an existing code or from scratch. Both OpenMP (shared memory) and MPI (distributed memory) paradigms are presented and experimented.

Séances de cours

Enseignant·e·s (2)

Emmanuel Lanti

Nicolas Richart

I graduated as an engineer in computer science in 2005 at the Ecole National Superieur en Electronique Informatique et Radiocomunication de Bordeaux (ENSEIRB). My degree is colored by an option od High Performance Computing (HPC). Then I made my thesis at LaBRI/INRIA Bordeaux in the ScalApplix/HiePACS team, on the in-situ steering of coupled parallel numerical simulations. I graduated as a Ph D. of computer science of the Universite de Bordeaux 1 in 2010. Since then I am working at EPFL in the Laboratoire de Simulations en Mechanique des Solides (LSMS) as a scientific collaborator.

Source officielle

https://edu.epfl.ch/coursebook/fr/parallel-programming-PHYS-743

Page Moodle

http://go.epfl.ch/PHYS-743

À propos de ce résultat

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Résumé

Séances de cours

Enseignant·e·s (2)

Emmanuel Lanti

Nicolas Richart

Source officielle

https://edu.epfl.ch/coursebook/fr/parallel-programming-PHYS-743

Page Moodle

http://go.epfl.ch/PHYS-743

À propos de ce résultat

Proximité ontologique

Génie informatique

Calcul intensif: Parallélisme (informatique)

Informatique théorique

Théorie des langages de programmation: Langage de programmation de haut niveau

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