JS has no parallel computing support, so it is not an option. And when I say parallel computing, I don't mean distributed computing, I mean utilizing hundreds (thousands) of cores on a single die, like NVIDIA architectures. (It's a black art, even addition algorithms can confuse the newcomer.)

The best course is to do what every other language does when it comes to simple-parallel operations, like Gauss-Jordan elimination: use a dedicated, optimized library, like NumPY.

I really hope some day there will be a numpy for JS. NumJS is dead, and Google's TensorFlowJS is excellent for utilizing GPUs, but a dog when trying to do simple operations (the load/store async nature doesn't quite fit with most use cases.) I suspect WebAsm will facilitate the parallel nature of tensor operations without having to move