[HalfCrimp]

If you are comfortable with C++ already then look at Thrust. It's nvidia's analogue to the standard library arrived at GPU computing.

Writing and launching raw cuda kernels is too low level for me, but writing with Thrust makes it feel pretty similar to writing regular C++ code. You still need to deal with moving data from host to device and back, but that's as simple as assigning a `thrust::device_vector` to a `thrust::host_vector`

[rnrn]

or look at using standard C++ with an implementation that uses the GPU: https://docs.nvidia.com/hpc-sdk/compilers/c++-parallel-algor...