pure_numba_alias_sampling
qha
| pure_numba_alias_sampling | qha | |
|---|---|---|
| 1 | 1 | |
| 3 | 28 | |
| - | - | |
| 10.0 | 8.3 | |
| about 6 years ago | 2 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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pure_numba_alias_sampling
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Numba: A High Performance Python Compiler
It’s not suitable for all use cases.
But I highly highly recommend it if you need to do somewhat complex calculations iterating over numpy arrays for which standard numpy or scipy functions don’t exist. Even then, often we were surprised that we could speed up some of those calculations by placing them inside numba.
Edit: ex of a very small function I wrote with numba that speeds up an existing numpy function (note - written years ago and numba has undergone quite some amount of changes since!): https://github.com/grej/pure_numba_alias_sampling
Disclosure - I now work for Anaconda, the company that sponsors the numba project.
qha
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Numba: A High Performance Python Compiler
Software from our group (cij[1], qha[2]) were developed when numba seems to be the best option for JIT. It generates more pain in the hindsight. It generates a lot of depreciated warning due to unstable API, locked numpy to a certain version (i remember 1.21) due to compatibility issues, and when M1 Mac comes out, there were for a long time lack of llvmlite porting to the new platform, so cannot run on these new Macs.
If I had to do it again I would just use plain numpy or use the JAX from Google if JIT is really necessary.
[1]: https://github.com/MineralsCloud/cij
[2]: https://github.com/MineralsCloud/qha
What are some alternatives?
codon - A high-performance, zero-overhead, extensible Python compiler using LLVM
autograd - Efficiently computes derivatives of numpy code.
fbpic - Spectral, quasi-3D Particle-In-Cell code, for CPU and GPU
hn-search - Hacker News Search
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
ideas4 - An Additional 100 Ideas for Computing https://samsquire.github.io/ideas4/
PyO3 - Rust bindings for the Python interpreter
Numba - NumPy aware dynamic Python compiler using LLVM
cij - Semiemperical quasiharmonic thermal elasticity