Module catalogue 2023/2024
| Parallel Architectures | Computer Science | S4 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Lessons : h | TD : h | TP : h | Project : h | Total : h | |||||
| Co-ordinator : Emmanuel Cagniot | |||||||||
| Prerequisite | |
|---|---|
| Elements of CPU architectures, knowledge of C and C++ (template programming) programming languages | |
| Course Objectives | |
| Introduction to parallel architectures and programming models | |
| Syllabus | |
| The course mainly focus on the classification of parallel architectures according to architectural and memory access schemes. Pratical works focus on shared memory programming using OpenMP (Open MultiProcessing) API. | |
| Practical work (TD or TP) | |
| - PW 1 (4h) : introduction to basic OpenMP constructs (parallel region, data status and synchronization) in C programming language - PW 2 (4h) : for loop parallelization, parallel region maximization, brute force algorithm (C programming language) - PW 3 (4h) : recursive algorithm parallelization using parallel sections and tasks (C programming language) - PW 4 (3h) : porting a distributed memory sorting algorithm onto a shared memory architecture (C++ programming language, template programming) |
|
| Acquired skills | |
| Choosing the best parallel architecture for a specific kind of application. Finding a good compromise between performances and both portability and maintenability for a parallel code. | |
| Bibliography | |
| Algorithmes et architectures parallèles, Michel Cosnard, Denis Trystram, InterEditions, Paris, 1993 |
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