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CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs.
CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA developers are able to dramatically speed up computing applications by harnessing the power of GPUs.


=Device Capabilities=
=Device Capabilities=
{| class="wikitable" style="margin-right: 22em;"
{| class="wikitable" style="margin-right: 22em;"
|-
|-
! capability
! Capability
! Value
! Value
|-
|-
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|-
|-
| Compute Mode
| Compute Mode
| < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
| Default (multiple host threads can use ::cudaSetDevice() with device simultaneously)
|-
|-
| CUDA Driver
| CUDA Driver
| CUDART
| CUDART
|-
| CUDA Driver Version
| 10.0
|-
| CUDA Runtime Version
| 10.0
|}
|}


=Build Device Query Tool=
=Build Device Query Tool=
We obtain the properties of the CUDA devices present in the system using the deviceQuery example. For running follow the next steps.
We obtained the properties of the CUDA devices present in the system using the deviceQuery example.  
In order to run it follow these steps:


1. Go to the sample path
1. Go to the sample's directory
<syntaxhighlight lang=bash>
<syntaxhighlight lang=bash>
cd /usr/local/cuda/samples/1_Utilities/deviceQuery  
cd /usr/local/cuda/samples/1_Utilities/deviceQuery  
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=Samples=
=Samples=
For some examples go to: https://developer.ridgerun.com/wiki/index.php?title=Xavier/GPU/Software_Support/CUDA
For a complete summary of the samples go to: https://developer.ridgerun.com/wiki/index.php?title=Xavier/GPU/Software_Support/CUDA


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