mpi4py-fft 2.0.4-1build1 source package in Ubuntu

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mpi4py-fft (2.0.4-1build1) jammy; urgency=medium

  * No-change rebuild with Python 3.10 only

 -- Graham Inggs <email address hidden>  Wed, 16 Mar 2022 21:42:19 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Jammy
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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mpi4py-fft_2.0.4.orig.tar.bz2 152.4 KiB 2bd3a72ce6757a9fd4c0ea5681f1e7f0724e53cb3d27cc6de460e1d5918d4cce
mpi4py-fft_2.0.4-1build1.debian.tar.xz 3.9 KiB c6debbeb49de78f7f0feda98123d947de3f8c9e7e8145915fb533e05570f927c
mpi4py-fft_2.0.4-1build1.dsc 2.2 KiB 0c6aff7103040d5eaeb06d446a10a281862cfd7b0a4684fa13024719749f7b95

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Binary packages built by this source

python3-mpi4py-fft: a Python package for computing Fast Fourier Transforms (FFTs) with MPI

 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 package installs the library for Python 3.

python3-mpi4py-fft-dbgsym: No summary available for python3-mpi4py-fft-dbgsym in ubuntu kinetic.

No description available for python3-mpi4py-fft-dbgsym in ubuntu kinetic.

python3-mpi4py-fft-doc: 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.