wolfssl/wolfcrypt/src/port/cuda

You will need to have the CUDA libraries and toolchains installed to be able to use this. For the simplest setup, I used the 'nvidia/cuda:12.3.2-devel-ubuntu22.04' container with the '--gpus=all' flag. Note that Docker must be set up to allow passing through the CUDA instructions to the host. The container only needs 'automake' and 'libtool' installed: apt update && apt install -y automake libtool.

This code was tested with the following: ./configure --enable-all --disable-shared --disable-crl-monitor --enable-cuda CC=nvcc && make check

There are still things that can be done to optimize, but the basic functionality is there.