Volumes horaires
- CM 9.0
- Projet -
- TD -
- Stage -
- TP 9.0
- DS -
Crédits ECTS
Crédits ECTS 3.0
Objectif(s)
In this course, we will introduce parallel programming paradigms to the students in the context of applied mathematics. The students will learn to identify the parallel pattern in numerical algorithm. The key components that the course will focus on are : efficiency, scalability, parallel pattern, comparison of parallel algorithms, operational intensity and emerging programming paradigm. Trough different lab assignments, the students will apply the concepts of efficient parallel programming using distributed and shared memory programming language (OpenMP, MPI). In the final project, the students will have the possibility to parallelize one of their own numerical application developed in a previous course.
Responsable(s)
Christophe PICARD
Contenu(s)
Syllabus
- Introduction to parallelism
Introduction to general context of parallelism - Models of parallel programming
Description of various model of parallelism - Paradigm of parallelism
- Templates of parallelism
- Parallel architectures
- Programming tools: OpenMP, OpenMPI
C or C++, Compiling, Data structures, Architecture, Concurrency
Contrôle des connaissances
Development of a parallel program.
N1= P
N2 = (P+E)/2
QCM = Question choix multiple
P = Evaluation du projet
E = Examen écrit de rattrapage (écrit)
L'examen existe uniquement en anglais 
Calendrier
Le cours est programmé dans ces filières :
- Cursus ingénieur - Master 2 Math. et Applications - Semestre 9 (ce cours est donné uniquement en anglais
) - Cursus ingénieur - Master 2 Informatique - Semestre 9 (ce cours est donné uniquement en anglais )
- Cursus ingénieur - Master 2 Math. et Applications - Semestre 9 (ce cours est donné uniquement en anglais )
Informations complémentaires
Code de l'enseignement : WMM9MO16
Langue(s) d'enseignement :
Vous pouvez retrouver ce cours dans la liste de tous les cours.
Bibliographie
Parallel Computing: Principles and Practice - T. J. Fountain
Patterns for Parallel Programming - Timothy G. Mattson, Beverly A. Sanders, Berna L. Massingill
Introduction to Parallel Computing - Ananth Grama, George Karypis, Vipin Kumar, Anshul Gupta
IDRIS#