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https://github.com/psteinb/gpu-lecture-task-parallelism
Lecture given at TU Dresden on task parallelism with (Nvidia) GPUs
https://github.com/psteinb/gpu-lecture-task-parallelism
Last synced: 21 days ago
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Lecture given at TU Dresden on task parallelism with (Nvidia) GPUs
- Host: GitHub
- URL: https://github.com/psteinb/gpu-lecture-task-parallelism
- Owner: psteinb
- License: bsd-3-clause
- Created: 2016-12-15T10:19:19.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2021-01-03T14:25:16.000Z (about 4 years ago)
- Last Synced: 2023-03-22T18:55:08.493Z (almost 2 years ago)
- Language: C++
- Homepage:
- Size: 105 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# gpu-lecture-task-parallelism
Lecture given at TU Dresden on task parallelism with GPUs (CUDA, OpenACC).
## Working on Taurus (if needed)
First, establish an interactive bash session on a gpu host (attention: the reservation flag will only work during class hours, omit them anytime else):
+ for Dec 16, 2019
```
$ srun --reservation p_lv_gpu1920_323 -A p_lv_gpu1920 -t 1:30:00 --mem=4000 --gres=gpu:1 --partition=gpu1-interactive --pty bash -l
```
+ for Dec 17, 2019
```
$ srun --reservation p_lv_gpu1920_324 -A p_lv_gpu1920 -t 1:30:00 --mem=4000 --gres=gpu:1 --partition=gpu1-interactive --pty bash -l
```
Second, please setup the correct environment (the defaul CUDA on taurus is version `10.1.243`):
```
$ module add modenv/scs5
Module GCCcore/6.4.0, zlib/1.2.11-GCCcore-6.4.0, cURL/7.58.0-GCCcore-6.4.0, expat/2.2.5-GCCcore-6.4.0, XZ/5.2.3-GCCcore-6.4.0, libxml2/2.9.4-GCCcore-6.4.0, ncurses/6.0-GCCcore-6.4.0, gettext/0.19.8.1-GCCcore-6.4.0, Perl/5.26.1-GCCcore-6.4.0, git/2.18.0-GCCcore-6.4.0 unloaded.
Module GCCcore/6.4.0, zlib/1.2.11-GCCcore-6.4.0, cURL/7.58.0-GCCcore-6.4.0, expat/2.2.5-GCCcore-6.4.0, XZ/5.2.3-GCCcore-6.4.0, libxml2/2.9.4-GCCcore-6.4.0, ncurses/6.0-GCCcore-6.4.0, gettext/0.19.8.1-GCCcore-6.4.0, Perl/5.26.1-GCCcore-6.4.0, git/2.18.0-GCCcore-6.4.0 loaded.
$ module load CUDA
Module CUDA/10.1.243 loaded.
```
## Working with the code
Note that the examples use C++11. please make sure that the installed host side compiler supports this standard. If your host uses gcc as the default c/c++ compiler, any version between 4.9 and 7 should be fine with CUDA 10, see [here](https://gist.github.com/ax3l/9489132) for compatibility matrix.
To prepare for class, change your working directory to where your code lives and checkout this repo :
```
$ cd /path/to/where/I/want/to/work
$ git clone https://github.com/psteinb/gpu-lecture-task-parallelism.git
$ cd gpu-lecture-task-parallelism
```
Let's start with the acceptance test:
```
$ cd 0_getting_started/
$ make
$ ./test_simple_increment
```
If this test passes, you are ready to go, if not, diagnose the problem. Feel free to post an issue to this repo if you are unable to solve the problem.