Course Overview

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. Introduction to parallelism, Models of parallel programming, Programming tools: OpenMP, OpenMPI

http://ensimag.grenoble-inp.fr/fr/formation/high-performance-computing-for-mathematical-models-5mm253c3

Learning Achievement

Competence

Applications in bioinformatics, computer vision, text mining, audio processing, etc.

Course prerequisites

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

Grading Philosophy

Practical work

Course schedule

Course type

Lecture

Online Course Requirement

Instructor

Christophe Picard

Other information

Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
- April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
- September 1st, 2020 for Spring Semester intake (February – June).

Site for Inquiry