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mpi4py-fft package

mpi4py-fft 2.0.5-1build1 source package in Ubuntu

Changelog

mpi4py-fft (2.0.5-1build1) noble; urgency=medium

  * No-change rebuild to build with python3.12 as supported.

 -- Matthias Klose <email address hidden>  Thu, 02 Nov 2023 10:04:41 +0100

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Uploaded by:
Matthias Klose
Uploaded to:
Noble
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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mpi4py-fft_2.0.5.orig.tar.gz 181.6 KiB e5ffe01a31232563203c2330d691a494b7946619d78818ebc086c8a68f9319a2
mpi4py-fft_2.0.5-1build1.debian.tar.xz 4.7 KiB 08ca2b7363e49ec2bb04b63e6cb8ca4d1e6157a7be244e7e2e7d21cbb007a02b
mpi4py-fft_2.0.5-1build1.dsc 2.3 KiB 6a86f80c971ef738b2fce46aeea7ecd03eef6ca6607ab18c93b20f4d5dcb1540

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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: debug symbols for python3-mpi4py-fft
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.