OpenMP in Small Bites/Worksharing
OpenMP in Small Bites/Worksharing /
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Revision as of 11:23, 18 November 2020 by Marc-andre-hermanns-bc32@rwth-aachen.de (talk | contribs) (Use new syllabus template)
| Tutorial | |
|---|---|
| Title: | OpenMP in Small Bites |
| Provider: | HPC.NRW
|
| Contact: | tutorials@hpc.nrw |
| Type: | Multi-part video |
| Topic Area: | Programming Paradigms |
| License: | CC-BY-SA |
| Syllabus
| |
| 1. Overview | |
| 2. Worksharing | |
| 3. Data Scoping | |
| 4. False Sharing | |
| 5. Tasking | |
| 6. Tasking and Data Scoping | |
| 7. Tasking and Synchronization | |
| 8. Loops and Tasks | |
| 9. Tasking Example: Sudoku Solver | |
| 10. Task Scheduling | |
| 11. Non-Uniform Memory Access | |
Video
Quiz
1. What is most commonly used worksharing construct in OpenMP to distribute work among loop interations?
2. Give an example for a parallel vector addition using OpenMP worksharing!
3. Can the following code snipped be parallelized with the OpenMP for-construct with out breaking the semantic? Justify your answer.
int i, int s = 0;
for (i = 1; i < 100; i++){ s = a[i-1] + a[i]; }