See https://github.com/IntelPython/numba-dppy. If numba-dppy package is installed this version of Numba provides additional features. Without numba-dppy package this version of Numba works like original Numba.
Numba is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax.
Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support for automatic parallelization of loops, generation of GPU-accelerated code, and creation of ufuncs and C callbacks.
For more information about Numba, see the Numba homepage: https://numba.pydata.org
- Operating systems and CPUs:
- Linux: x86 (32-bit), x86_64, ppc64le (POWER8 and 9), ARMv7 (32-bit), ARMv8 (64-bit)
- Windows: x86, x86_64
- macOS: x86_64, (M1/Arm64, unofficial support only)
- *BSD: (unofficial support only)
- (Optional) Accelerators and GPUs:
- NVIDIA GPUs (Kepler architecture or later) via CUDA driver on Linux, Windows, macOS (< 10.14)
- AMD GPUs via ROCm driver on Linux
- Python versions: 3.7-3.9
- llvmlite 0.36.*
- NumPy >=1.15 (can build with 1.11 for ABI compatibility)
Optionally:
- SciPy >=1.0.0 (for
numpy.linalgsupport)
The easiest way to install Numba and get updates is by using the Anaconda Distribution: https://www.anaconda.com/download
$ conda install numba
For more options, see the Installation Guide: https://numba.readthedocs.io/en/stable/user/installing.html
https://numba.readthedocs.io/en/stable/index.html
Join the Numba mailing list [email protected]: https://groups.google.com/a/continuum.io/d/forum/numba-users
Some old archives are at: http://librelist.com/browser/numba/