How do I get the current compute capability of a GPU from the host portion of the code?

Accelerated Computing CUDA CUDA Programming and Performance
#1

I tried to use CUDA_ARCH but I read somewhere that this works only on the device portion of code.
After that, I came across this code on github: https://github.com/divijverma/NAMD/blob/dce41777d099e647965a8dc5e3fec1925027110f/src/DeviceCUDAkernel.cu
Is there any better way to achieve this?

I am asking this because I would like to determine if the GPU supports unified memory (on host code) in which case a cudaMallocManaged would take place or cudaMallocs && cudaMemcpys would take place instead.

Example of what I would like to do:

int main() {
// IF CUDA >= 6.0 && COMPUTE CAPABILITY >= 3.0
// USE cudaMallocManaged
// ELSE
// USE cudaMallocs && cudaMemcpys
// END IF
return 0;
}

#2

This was answered on stackoverflow https://stackoverflow.com/questions/47412128/how-do-i-get-the-current-compute-capability-of-a-gpu-from-the-host-portion-of-th/47414762#47414762