Lev E. Givon

MAGMA provides a means of [finding the eigenvalues of a symmetric/Hermitian matrix in an interval](https://icl.cs.utk.edu/projectsfiles/magma/doxygen/group__magma__heevx.html), but that functionality has not been integrated with skcuda.linalg.eig().

True - someone contributed the additions privately, though, so I didn't have to do much work :-) MAGMA does contain some algorithms implemented for multiple-GPU scenarios, so it may be...

A high-level `solve` function for scikit-cuda would be great, but I haven't gotten around to adding one yet. MAGMA support is also currently incomplete, but I agree that it needs...

Did you have an existing installation of scikit-cuda somewhere? I can't replicate that error if I install the latest revision from scratch in a conda environment.

What version of Python are you using?

What is your PYTHONPATH env variable set to? If you run python -c "import sys,pprint; pprint.pprint(sys.path)", what do you get? Also, do you have the latest version of setuptools installed?

Strange - I'm using the same version of Python (via miniconda) and setuptools, but I can't reproduce the error. You might also want to try installing scikit-cuda and its dependencies...

Looks like someone implemented BIRCH in CUDA, but it doesn't seem they released any code at the time:

@untom, can you please fix?

Agreed - mirroring numpy's rules seems desirable, and we shouldn't worry about arrays with more than 2 dimensions until we have to.