llvmlite

> The one aesthetic gripe I have is that the LLVM included is a fork. It's not technically a fork, it's a standalone build of vanilla LLVM (ok, there are a couple patches: https://github.com/numba/llvmlite/tree/main/conda-recipes). > It won't even try to work with the system LLVM and insists on installing a huge wheel with custom binaries. Not only does LLVM not have a stable ABI, it doesn't even have a stable API. It's difficult to write code that works reliably against a non-trivial number of LLVM major versions. For the record, here is the LLVM compatibility table for llvmlite versions (llvmlite is the Python-C++ shim that Numba uses to talk to LLVM): https://llvmlite.readthedocs.io/en/latest/#llvm-compatibilit... If you want a Numba linked against your system LLVM, the solution would be for your distribution to provide a system packag

Numba the Python library is only just getting around to support LLVM 9. https://github.com/numba/llvmlite/issues/523

As others have noted, this is a somewhat dated article. Indeed, the github page for llvmpy (https://github.com/llvmpy/llvmpy) recommends to use llvmlite (https://github.com/numba/llvmlite) instead. See also http://llvmlite.pydata.org/en/latest/user-guide/index.html and in the context of the original article, in particular these two pages: http://llvmlite.pydata.org/en/latest/user-guide/ir/examples.... http://llvmlite.pydata.org/en/latest/user-guide/binding/exam... Hope this helps! :-)

The article is from 2015. Many of the jits (eg numba) have moved to llvmlite. https://github.com/numba/llvmlite

It does and this can be done sometimes automatically by Numba/LLVM https://github.com/numba/llvmlite/issues/270

The C kernel I've written here https://github.com/numba/llvmlite/issues/270 is contrived but the structure resembles code I maintain related to differential equation integration. Autovec provides a very nice speed up for very little effort.