Course Syllabus
Course PM
This page contains the program of the course: lectures, exercise sessions and computer labs. Other information, such as learning outcomes, teachers, literature and examination, are in a separate course PM.
Website
See the separate course website for more course content.
Program
The schedule of the course is in TimeEdit.
Lectures
See also the course website.
| Lecture’s name | Number of lecture slots | Dates | Associated assignment deadline |
|---|---|---|---|
| Introduction | 1 1/2 | 3,4 Sep | |
| Dev Env | 1 1/2 | 4,10 Sep | Mo 16 Sep |
| Hardware | 2 | 11,17 Sep | |
| Optimization | 2 1/2 | 18, 25, 26 Sep | Mo 30 Sep |
| Parallel | 2 1/2 | 26 Sep, 1,2 Oct | Mo 14 Oct |
| OpenMP | 1 2/3 | 8,9 Oct | Fr 25 Oct |
| OpenCL | 1 2/3 | 9, 15 Oct | Fr 25 Oct (bonus assignment) |
| MPI | 1 2/3 | 15, 16 Oct | Fr 25 Oct (bonus assignment) |
| free content/ buffer | 2 | 22, 23 Oct |
Recommended exercises
One tutorial/self-assessment page on Using the Linux shell is available inside of Canvas. See the website for the assignments which match the lectures.
Computer labs
See TimeEdit for dates. See the website for the content.
Reference literature:
See the website for the course content.
An overview of the subject is available in T. Sterling, M. Anderson, M. Brodowicz. High Performance Computing.
One essential part of the training is that you learn how to solve specific problems using web resources, because this is how problems are commonly used in real programmer's life. The two most important sources are therefore your favorit search engine and Stackoverflow.
Course Summary:
| Date | Details | Due |
|---|---|---|