Difference between revisions of "GPU Tutorial/Open MP"
GPU Tutorial/Open MP
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|type="()"} | |type="()"} | ||
| − | - | + | - <code>#pragma omp target gpu</code> |
| − | || | + | || <code>#pragma omp target gpu</code> is a syntax error in OpenMP. |
| − | - | + | - <code>#pragma omp target acc</code> |
| − | || + | + | || + <code>#pragma omp target acc</code> is a syntax error in OpenMP. |
| − | + | + | + <code>#pragma omp target</code> |
| − | || Correct: | + | || Correct: <code>#pragma omp target</code> defines a target region, which is a block of computation that operates on GPU. |
</quiz> | </quiz> | ||
{{hidden end}} | {{hidden end}} | ||
| Line 49: | Line 49: | ||
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|type="()"} | |type="()"} | ||
| − | - | + | - <code>#pragma omp init teams</code> |
| − | || | + | || <code>#pragma omp init teams</code> is a syntax error in OpenMP. |
| − | + | + | + <code>#pragma omp teams</code> |
| − | || Correct: | + | || Correct: <code>#pragma omp teams</code> creates a league of teams for execution on GPU. |
| − | - | + | - <code>#pragma omp gpu teams</code> |
| − | || | + | || <code>#pragma omp init teams</code> is a syntax error in OpenMP. |
</quiz> | </quiz> | ||
{{hidden end}} | {{hidden end}} | ||
| Line 64: | Line 64: | ||
{ | { | ||
|type="()"} | |type="()"} | ||
| − | - | + | - <code>#pragma omp distribute for</code> |
| − | || | + | || <code>#pragma omp distribute for</code> is a syntax error in OpenMP. |
| − | - | + | - <code>#pragma omp parallel for</code> |
| − | || | + | || <code>#pragma omp parallel for</code> only parallelizes the for-loop iterations amongst the threads in one team. |
| − | + | + | + <code>#pragma omp distribute parallel for</code> |
| − | || Correct: | + | || Correct: <code>#pragma omp distribute parallel for</code> distributes the for-loop iterations across two levels of parallelism, which are the league of teams and the threads in each team. |
</quiz> | </quiz> | ||
{{hidden end}} | {{hidden end}} | ||
Revision as of 13:28, 3 January 2022
| Tutorial | |
|---|---|
| Title: | Introduction to GPU Computing |
| Provider: | HPC.NRW
|
| Contact: | tutorials@hpc.nrw |
| Type: | Multi-part video |
| Topic Area: | GPU computing |
| License: | CC-BY-SA |
| Syllabus
| |
| 1. Introduction | |
| 2. Several Ways to SAXPY: CUDA C/C++ | |
| 3. Several Ways to SAXPY: OpenMP | |
| 4. Several Ways to SAXPY: Julia | |
| 5. Several Ways to SAXPY: NUMBA | |
This video discusses the SAXPY via OpenMP GPU offloading. OpenMP 4.0 and later enables developers to program GPUs in C/C++ and Fortran by means of OpenMP directives. In this tutorial we present the basic OpenMP syntax for GPU offloading and give a step-by-step guide for implementing SAXPY with it.
Video
Quiz
1. Which one of the following OpenMP directives can create a target region on GPU?
2. The OpenMP `map(to:...)` clause maps variables:
3. Which one of the following OpenMP directives can initialize a league of teams for execution on GPU?
4. Which one of the following OpenMP directives can distribute iterations of for-loop across GPU threads in the teams?