Number of hours
- Lectures 24.0
- Projects -
- Tutorials -
- Internship -
- Laboratory works 12.0
- Written tests -
ECTS
ECTS 3.0
Goal(s)
This course examines technologies that are for the use of special-purpose hardware originally designed for graphics and games to solve general-purpose computing problems. We will address the hardware aspects (architectures, memory hierarchy), software aspects (CUDA/OpenCL) and algorithms aspects (tiling, reduction, pipeline,...) The design process of a parallel application will also be discussed.
Christophe PICARD
Content(s)
- Introduction to parallelism and hardware concepts
Memory organisation and core organisation
#Software libraries for programming special purpose hardware
Introduction to OpenCL and CUDA
#Memory optimisation
Multilevel memory organisation and computation placement - Control Flow
Separation of tasks between CPU and special-purpose hardware - Parallel programming patterns
Study of the of the parallel pattern - Project
C/C++ Programming. Algorithms
Project based assessment on a student chosen subject.
The project is done in two phases : the first one, in class with some specific requirements and the second one is exploratory. (NPR)
N1 = 0,75 * NPR + 0,25 E1
N2 = 0,5 * NPR + 0,5 E2
NPR = Evaluation du projet
E1 = Examen écrit
E2 = Examen de rattrapage écrit
The exam is given in english only
The course exists in the following branches:
- Curriculum - Math. Modelling, Image & Simulation - Semester 9 (this course is given in english only )
Course ID : 5MMGPUHP
Course language(s):
You can find this course among all other courses.
Parallel Computing: Principles and Practice - T. J. Fountain
Patterns for Parallel Programming - Timothy G. Mattson, Beverly A. Sanders, Berna L. Massingill
Introduction to Parallel Computing - Ananth Grama, George Karypis, Vipin Kumar, Anshul Gupta
CUDA by Example: An Introduction to General-Purpose GPU Programming - Jason Sanders, Edward Kandrot
Heterogeneous Computing with OpenCL de Benedict Gaster