Idea discussion for an HPC library

Hello all,
I have recently started to develop a one-stop library for high-performance
scientific computing, which would essentially provide support to various
parallel computing frameworks like OpenMP for deployment on CPU, CUDA for
Nvidia GPUs, OpenCL for AMD platforms(This can even be used on other
platforms as well). I also plan to add cluster support using openMPI

Scientific computing packages like NumPy which are based on BLAS do quite
well when the data is small but the power of multithreading really shows
when data goes really high. I took a [5000, 10000] array and multiplied it
with a scalar, 2.0, NumPy took about an average of 90 seconds whereas
parallelism using openMP did it in 3. This when I decided build such a
library.
But to manage such a huge project, I need guidance, support and would also
require help, and thus reaching out to the connoisseurs of scientific
computing.

I think of building the whole library in C++ and providing language
bindings. PLease let me know your thoughts and feedback.

Atharva Dubey