套件：python3-mpi4py-fft-doc（2.0.6-1）
a Python package for computing Fast Fourier Transforms (FFTs) with MPI (docs)
mpi4py-fft is a Python package for computing Fast Fourier Transforms (FFTs). Large arrays are distributed and communications are handled under the hood by MPI for Python (mpi4py). To distribute large arrays we are using a new and completely generic algorithm that allows for any index set of a multidimensional array to be distributed. We can distribute just one index (a slab decomposition), two index sets (pencil decomposition) or even more for higher-dimensional arrays.
In mpi4py-fft there is also included a Python interface to the FFTW library. This interface can be used without MPI, much like pyfftw, and even for real-to-real transforms, like discrete cosine or sine transforms.
The package provides a Python interface to FFTW, but with MPI parallelisation. This enables strong scaling tested to 16000 cores, or weak scaling tested to 2000 cores. The algorithm is documented at https://arxiv.org/abs/1804.09536
This is the common documentation package.
其他與 python3-mpi4py-fft-doc 有關的套件
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- dep: libjs-jquery (>= 3.6.0)
- JavaScript library for dynamic web applications
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- dep: libjs-mathjax
- JavaScript display engine for LaTeX and MathML
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- dep: libjs-sphinxdoc (>= 7.4)
- JavaScript support for Sphinx documentation
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- dep: sphinx-rtd-theme-common (>= 2.0.0+dfsg)
- sphinx theme from readthedocs.org (common files)