Difference between revisions of "OpenMP in Small Bites/Overview"
OpenMP in Small Bites/Overview
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| − | + | + | + Compiler directives, runtime routines, environment variables |
| − | || compiler | + | || Correct |
| + | - Compiler directives, host language extensions, runtime routines | ||
| + | || While compiler support is needed, OpenMP does comprise host language extensions, yet also uses environment variables. | ||
| + | - Host language extensions, runtime routines, environment variables. | ||
| + | || OpenMP does not comprise host language extensions, but rather uses compiler directives to insert . | ||
</quiz> | </quiz> | ||
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| − | + | + | + Fork-Join |
| − | || | + | || An OpenMP program starts with just one worker thread (<code>master</code>). The <code>worker</code> threads are spawned in the parallel region and form a <code>team</code> of threads together with the <code>master</code>. They all join at the end of a parallel region. |
| + | - Create-Release | ||
| + | || An OpenMP program starts with just one worker thread (<code>master</code>). The <code>worker</code> threads are spawned in the parallel region and form a <code>team</code> of threads together with the <code>master</code>. They all join at the end of a parallel region. | ||
| + | - Start-Wait | ||
| + | || An OpenMP program starts with just one worker thread (<code>master</code>). The <code>worker</code> threads are spawned in the parallel region and form a <code>team</code> of threads together with the <code>master</code>. They all join at the end of a parallel region. | ||
</quiz> | </quiz> | ||
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| − | |type=" | + | |type="[]"} |
| − | + | + | + Set environment variable <code>OMP_NUM_THREADS</code>. |
| − | + | || True | |
| + | + Use <code>num_threads</code> clause on a parallel construct. | ||
| + | || True | ||
| + | - Number of threads are fixed at compile time | ||
| + | || False | ||
| + | - All of the above | ||
| + | || False | ||
</quiz> | </quiz> | ||
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Revision as of 11:45, 23 November 2020
| 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