Study programme 2017-2018 | 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;
<strong>GPU programming</strong>
Exploitation of Multi-CPU-GPU Architectures
Application for Multimedia processing
Multi-CPU/Multi-GPU based image processing
Multi-GPU based video processing in Real Time
Multi-CPU/Multi-GPU based framework for HD image and video processing
Experimental Results
<strong>Cloud computing </strong>
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
Type of Teaching Activity/Activities
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)