 | Study programme 2018-2019 | Français | |
 | High performance and cloud computing | ||
Activité d'apprentissage à la Faculty of Science |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) |
|---|---|---|---|
| I-INFO-009 |
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Anglais | Anglais | 18 | 18 | 12 | 0 | 0 | Q1 |
Content of Learning Activity
Introduction to Parallel Computing;
Parallel Computing Architecture;
Parallel Programming Paradigms;
MPI and OpenMP Libraries;
<b>GPU programming</b>
<b>Cloud computing </b> Cloud computing architecture Cloud components Deployment models Service models Cloud storage Cloud supports Cloud security Cloud advantages Cloud uses cases Demonstration : Cloud-based image and video processing platform
Required Reading
Required Learning Resources/Tools
Not applicable
Recommended Reading
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
M. McCool, A.D. Robinson, J. Reinders, Structured Parallel Programming, Morgan Kaufmann, 2012.
L.R. Scott, T. Clark, B.Bagheri, Scientific parallel computing, Princeton Univ. Press, 2005.
Mode of delivery
- Face to face
Type of Teaching Activity/Activities
- Cours magistraux
- Conférences
- Travaux pratiques
- Préparations, travaux, recherches d'information
- Projets supervisés
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)