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Informatique et Mathématiques appliquées
Une voie, plusieurs choix

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High performance computing for mathematical models - 5MMHPCM7

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  • Number of hours

    • Lectures : 18.0
    • Tutorials : -
    • Laboratory works : -
    • Projects : -
    • Internship : -
    • Written tests : -
    ECTS : 1.5
  • Officials : Christophe PICARD

Goals

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.

Content

Syllabus

  1. Introduction to parallelism
    Introduction to general context of parallelism
  2. Models of parallel programming
    Description of various model of parallelism
  3. Paradigm of parallelism
  4. Tempplates of parallelism
  5. Parallel architectures
  6. Programming tools: OpenMP, OpenMPI

Prerequisites

C or C++, Compiling, Data structures, Architecture, Concurrency

Tests

Project
Multiple Choice Questions

N1= P
N2 = (P+E)/2

QCM = Question choix multiple
P = Evaluation du projet
E = Examen écrit de rattrapage (écrit)

Calendar

The course exists in the following branches:

  • Curriculum - Math. Modelling, Image & Simulation - Semester 9
  • Curriculum - Math. Modelling, Image & Simulation - Semester 9
  • Curriculum - Math. Modelling, Image & Simulation - Semester 9
see the course schedule for 2020-2021

Additional Information

Course ID : 5MMHPCM7
Course language(s): FR

The course is attached to the following structures:

You can find this course among all other courses.

Bibliography

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#

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Date of update June 18, 2017

Université Grenoble Alpes