Brendan O'Donoghue

OK in the `scs-python` directory there is an `scs` directory that contains the C code. `cd` into that directory and do a `git pull`, that will bring you up to...

The speedup depends a lot on the data structure and sparsity. You can use `nvidia-smi` to see how much your GPU is being used, if it's mostly idle then either...

Oh awesome, yes it would be great to get the gpu build into the conda package, thanks! I will cut a new github release, do you also need a new...

Ok, I cut a new SCS github release and a new Pypi release (v2.1.3).

Hi @h-vetinari , thanks again for doing all this work, and sorry for the delay in responding. [This](https://github.com/bodono/scs-python/blob/master/test/solve_random_cone_prob.py) file checks if the gpu path can be imported, and if it...

Currently it's not automatically built when installing via pip since not everyone has a GPU and CUDA installed, though we could add it inside a try-except block. Not sure what...

For fairness I would suggest that the time to perform the factorization should be added to the total solver time too, but that's up to you really.

Yeah, there is a backwards compatible function that just calls the newer API in sequence: https://github.com/bodono/scs-python/blob/master/scs/__init__.py#L175 Though the new API is better and more explicit about what's happening (and supports...

Thanks for reporting this! I take it this is specifically for windows? What do you mean by "doesn't match the system"?

On pypi I see arm64 wheels: https://pypi.org/project/scs/#files Are they not working? Or are you saying that the problem is they are for mac-os rather than linux?