[maleadt]

Author here, happy to answer any questions! We've been developing and maintaining this toolchain for a while now, so the relevant packages (CUDAnative.jl for kernel programming, CuArrays.jl for a GPU array abstraction) are much more mature. Our focus has recently been on implementing a common base of array operations that can be used across devices (GPU, CPU, etc), so that users can develop using the base CPU array type, quickly benefit from a GPU by switching to CuArrays, only to rely on specific CUDA-specific functionality from CuArrays/CUDAnative when they need custom functionality.