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Examples showing how to utilize the NVML library for GPU monitoring

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# nvml_example
Example showing how to utilize NVML library for GPU monitoring with high sampling rate.

This example utilizing the NVML Library and C++11 mutlithreading to provide GPU monitoring with a high sampling rate. Normally, one would pipe nvidia-smi to a file, but this can cause excessive I/O usage.

Also provided is a Matlab script used to plot the data.

### Prerequisites
Example requires Tesla card because some calls are not supported on Geforce family.

### Built With
This example utilizes the following toolsets:
* cuBLAS
* Thrust
* C++11 multithreading
* NVIDIA Management Library (NVML)

### Deployment
Include header class

```#include nvmlClass.h```

Create object of nvmlClass

```nvmlClass nvml( dev, filename );```

Create thread to run in parallel, gathering data

```std::thread threadStart( &nvmlClass::getStats, &nvml );```

Create thread to kill getStats function

```std::thread threadKill( &nvmlClass::killThread, &nvml );```

Join all threads

```threadStart.join( );```

```threadKill.join( );```

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