bohrium

At the low end, that's right around Bohrium (107), and the high end could go a lot higher.

This is all done automatically, so all you need to change is `import numpy as np` to `import bohrium as np`.

Our tests pass on Python 3, too[1], but Bohrium isn't reliable enough on Python 3 to recommend it to the average user.

DCU legal team successfully obtained a court order that granted Microsoft control over 41 domains used by the Bohrium group in spear-phishing operations.

When you have a side-effect in your Python code, Bohrium will take over and JIT-compile an OpenCL kernel, so your NumPy can run on your GPU.

Use a Bohrium blanket to absorb the neutron bombardment.

For Bohrium I also created a Ruby frontend, so you can use custom `BhArray` to JIT-compile OpenCL kernels from Ruby code, run when you have a side-effect.

In this specific case though, it looks like the Bohrium library being used by Veros for parallelization has some issues with Python 3 so that may be what’s keeping this project on Python 2 (at least for now).

Bohrium intercepts your NumPy calls and compile a kernel for either CPU, Multicore CPU, or GPU and run that instead.

Bohrium is a framework that sits on top NumPy and intercepts all calls.

We do something similar with Bohrium[1].