Degrees incorporating this pedagocial element :
- Master in Mathematics and applications
- Master in Mechanics
- Master in Physics
- Master in Computer science
Description
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 Graphic Processing Unit. In the final project, the students will have the possibility to parallelize one of their own numerical application developed in a previous course.
Recommended prerequisite
C or C++, Compiling, Data structures, Architecture, Concurrency
In brief
Period : Semester 9Credits : 6
Number of hours
- Lectures (CM) : 18h
- Practical work (TP) : 18h
Language(s) : English
Contact(s)
Christophe Picard
International students
Credits : 6.0