Add support for building using Java 9+

[devurandom]

See-also: maven-nar/nar-maven-plugin#313

[blueberry]

Hi,

Thanks for contributing this. Can you specify your environment (OS, compiler, etc.), as Windows and Mac builds are fragile, so I'd like to not break the?

Just for clarification: as a normal user, you should not have to build neanderhal-native yourself. Simply including neanderthal in your project, and having mkl on your library path should be enough, regardless of Java version.

As I currently still build the official release on Java 8, this might have to wait a while (Windows still requires an old version of maven-nar-plugin), but I'm expecting the upgrade in the following months, so then I'll take your changes into account (I hope that suits your plans).

[devurandom]

Can you specify your environment (OS, compiler, etc.)

I am running Linux 5.7 with GCC 10, OpenJDK 11. I did not test on Windows nor macOS.

Just for clarification: as a normal user, you should not have to build neanderhal-native yourself.

I am coming from uncomplicate/neanderthal#95 to gauge how much effort it would be to provide a basic implementation that is just enough to upload data to OpenCL. The first step is getting neanderthal-native to build. (MKL is not easily available on any of my systems: Fedora 32 does not ship it at all and on Gentoo it cannot easily be installed in parallel with other BLAS/CBLAS/LAPACK implementations. And then there is Intel's "cripple AMD" routine, which is not very encouraging either. And then of course there is the closed-source nature of the library.)

I hope that suits your plans.

That is fine with me. I can live with using my own builds, should I be successful with my endeavour.

[blueberry]

MKL seems to work well on AMD with one little switch: https://twitter.com/danluu/status/1203450367515615233?s=19

[devurandom]

MKL seems to work well on AMD with one little switch: https://twitter.com/danluu/status/1203450367515615233?s=19

If you mean MKL_DEBUG_CPU_TYPE, Intel removed that recently: https://old.reddit.com/r/matlab/comments/dxn38s/howto_force_matlab_to_use_a_fast_codepath_on_amd/fm2j83e/

Anyway, I do not really feel like relying on such crutches. I imagine it cannot be that difficult to upload a few thousand floats to a GPU that it would warrant jumping through Intel's hoops. Maybe I will be proven wrong...