CUDA: Difference between revisions
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* NVIDIA Driver | * NVIDIA Driver | ||
{{Note | If you are unsure if your device is CUDA capable, | {{Note | If you are unsure if your device is CUDA capable, please [[HelpDesk |contact staff]].}} | ||
==Getting Started== | ==Getting Started== | ||
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#: <pre> module load cuda</pre> | #: <pre> module load cuda</pre> | ||
# Obtain a copy of the cuda samples: | # Obtain a copy of the cuda samples: | ||
#: <pre>rsync -a /opt/common/cuda/ | #: <pre>rsync -a /opt/common/cuda/<CUDA Version>/samples/ ~/cuda_samples</pre> | ||
# Build and run the device query | # Build and run the device query | ||
#: <pre> cd ~/cuda_samples/1_Utilities/deviceQuery/ && make && ./deviceQuery</pre> | #: <pre> cd ~/cuda_samples/1_Utilities/deviceQuery/ && make && ./deviceQuery</pre> | ||
Assuming the deviceQuery complication completed without error, you should now see output listing the details of the GPUs in your system. If desired you can compile additional samples by switching to their respective directory and running 'make' | Assuming the deviceQuery complication completed without error, you should now see output listing the details of the GPUs in your system. If desired you can compile additional samples by switching to their respective directory and running 'make' | ||
Latest revision as of 20:39, 26 February 2024
CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU).
Prerequisites
- NVIDIA GPU device
- NVIDIA Driver
|
If you are unsure if your device is CUDA capable, please contact staff. |
Getting Started
- Load the CUDA Environmental variables via GNU Modules
- Multiple versions are available. See the modules documentation and
module list cudafor more information.
module load cuda
- Multiple versions are available. See the modules documentation and
- Obtain a copy of the cuda samples:
rsync -a /opt/common/cuda/<CUDA Version>/samples/ ~/cuda_samples
- Build and run the device query
cd ~/cuda_samples/1_Utilities/deviceQuery/ && make && ./deviceQuery
Assuming the deviceQuery complication completed without error, you should now see output listing the details of the GPUs in your system. If desired you can compile additional samples by switching to their respective directory and running 'make'