High performance computing for mathematical models - 5MM253C3

Goal(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.

Content(s)

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

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