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Check out Neanderthal[0], it seems to have support for some subset of sparse matrices and it's faster than ND4J[1] to boot.

[0]: https://neanderthal.uncomplicate.org [1]: https://dragan.rocks/articles/18/Neanderthal-vs-ND4J-vol1

Yeah, Neanderthal is great (I'm a Clojure a user). It's got support for structured sparse matrices (like Toeplitz) the last I checked, but not general CSC/CSR matrices.

Can't you use JNI with the usual C/FORTRAN-libs? That's AFIAK what python does [1]. Or are you asking for a nicer wrapper?

[1] https://markus-beuckelmann.de/blog/boosting-numpy-blas.html

Sure, but there's not a single mature library that's done so.

I'm by no means a expert in the field, but I've used https://github.com/scalanlp/breeze for this....

Breeze runs out of memory for even surprisingly small arrays.