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Semestre 5
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Semestre 6
 
 
 
Semestre 7
 
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Semestre 9
 
 
Intersemestre

Course unit

Parallel programing on GPUs

Last updated: 22/02/2024

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Course Director(s):

GAVET Yann

General Description:

This UP provides the theoretical basics of parallel computing on GPUs.

Content :

In this set of courses / practical works (programming), using the theoretical knowledge previously acquired (UP1) about the basics in parallel architectures and parallel computing, students will learn parallel programming on Graphics Processing Units (GPUs)

Key words:

OpenCL GPU

Number of teaching hours

12

Fields of study

Computer Science, Information Systems

Teaching language

French

Intended learning outcomes

On completion of the unit, the student will be capable of: Classification level Priority
Programing on GPUs 3. Apply Important
Developing parallel algorithms and parallel programs 4. Analyse Essential

Learning assessment methods

Percentage ratio of individual assessment Percentage ratio of group assessment
Written exam: 0 % Project submission: 100 %
Individual oral exam: 0 % Group presentation: 0 %
Individual presentation: 0 % Group practical exercise: 0 %
Individual practical exercise: 0 % Group report: 0 %
Individual report: 0 %
Other(s): 0 %

Programme and content

Type of teaching activity Content, sequencing and organisation
Supervised studies

Parallel programing on GPUs (12h, courses / practical works provided by Y. Gavet et A. Aoufi)

The student will be introduced to parallel programming on graphics processing units (GPUs). TP will be based on the OpenCL language