Selecting a device for CUDA debugging

Question

I've got a couple of Parallel Nsight compatible CUDA GPU's. The second (lower) one is connected to my monitor, and the first (upper) one is is set up as a PhysX accelerator. You can clearly see my configuration below.

Now in order to perform CUDA debugging with Nsight, I need to only run kernel code on the GPU not connected to the monitor. My computer is already setup for "headless debugging". Also below is a basic example of code I wish to execute on the other GPU:

// KernelCall.cu
#include <iostream>
#include "cuda.h"
#include "cuda_runtime.h"
#include "device_launch_parameters.h"

__global__ void kernel(void){}

int main()
{
    kernel<<<1,1>>>();

    system("pause");
    return 0;
}

My question is basically what do I need to put in this code so that it only executes on the other device and allow me to perform CUDA debugging?

Answer 1

cudaSetDevice

https://visualization.hpc.mil/wiki/Choosing_the_GPU_in_a_Multi-GPU_system