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  <summary>Sparse 3D FFT library</summary>
  <description>
A 3D FFT library for sparse frequency domain data written in C++ with
support for MPI, OpenMP, CUDA and ROCm.

Inspired by the need of some computational material science applications
with spherical cutoff data in frequency domain, SpFFT provides Fast
Fourier Transformations of sparse frequency domain data. For distributed
computations with MPI, slab decomposition in space domain and pencil
decomposition in frequency domain (sparse data within a pencil / column
must be on one rank) is used.


- Sparse frequency domain input
- Reuse of pre-allocated memory
- Support for shifted indexing with centered zero-frequency
- Optional parallelization and GPU acceleration
- Unified interface for calculations on CPUs and GPUs
- Support of Complex-To-Real and Real-To-Complex transforms, where the full
hermitian symmetry property is utilized
- C++, C and Fortran interfaces


To allow for pre-allocation and reuse of memory, the design is based on two
classes:

- **Grid**: Provides memory for transforms up to a given size.
- **Transform**: Created with information on sparse input data and is
associated with a *Grid*. Maximum size is limited by *Grid* dimensions.
Internal reference counting to *Grid* objects guarantee a valid state
until *Transform* object destruction.

A transform can be computed in-place and out-of-place. Additionally, an
internally allocated work buffer can optionally be used for input / output
of space domain data.</description>
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  <summary>Sparse 3D FFT library</summary>
  <description>
A 3D FFT library for sparse frequency domain data written in C++ with
support for MPI, OpenMP, CUDA and ROCm.

Inspired by the need of some computational material science applications
with spherical cutoff data in frequency domain, SpFFT provides Fast
Fourier Transformations of sparse frequency domain data. For distributed
computations with MPI, slab decomposition in space domain and pencil
decomposition in frequency domain (sparse data within a pencil / column
must be on one rank) is used.


- Sparse frequency domain input
- Reuse of pre-allocated memory
- Support for shifted indexing with centered zero-frequency
- Optional parallelization and GPU acceleration
- Unified interface for calculations on CPUs and GPUs
- Support of Complex-To-Real and Real-To-Complex transforms, where the full
hermitian symmetry property is utilized
- C++, C and Fortran interfaces


To allow for pre-allocation and reuse of memory, the design is based on two
classes:

- **Grid**: Provides memory for transforms up to a given size.
- **Transform**: Created with information on sparse input data and is
associated with a *Grid*. Maximum size is limited by *Grid* dimensions.
Internal reference counting to *Grid* objects guarantee a valid state
until *Transform* object destruction.

A transform can be computed in-place and out-of-place. Additionally, an
internally allocated work buffer can optionally be used for input / output
of space domain data.</description>
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Debug information is useful when developing applications that use this
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  <description>
A 3D FFT library for sparse frequency domain data written in C++ with
support for MPI, OpenMP, CUDA and ROCm.

Inspired by the need of some computational material science applications
with spherical cutoff data in frequency domain, SpFFT provides Fast
Fourier Transformations of sparse frequency domain data. For distributed
computations with MPI, slab decomposition in space domain and pencil
decomposition in frequency domain (sparse data within a pencil / column
must be on one rank) is used.


- Sparse frequency domain input
- Reuse of pre-allocated memory
- Support for shifted indexing with centered zero-frequency
- Optional parallelization and GPU acceleration
- Unified interface for calculations on CPUs and GPUs
- Support of Complex-To-Real and Real-To-Complex transforms, where the full
hermitian symmetry property is utilized
- C++, C and Fortran interfaces


To allow for pre-allocation and reuse of memory, the design is based on two
classes:

- **Grid**: Provides memory for transforms up to a given size.
- **Transform**: Created with information on sparse input data and is
associated with a *Grid*. Maximum size is limited by *Grid* dimensions.
Internal reference counting to *Grid* objects guarantee a valid state
until *Transform* object destruction.

A transform can be computed in-place and out-of-place. Additionally, an
internally allocated work buffer can optionally be used for input / output
of space domain data.

This package contains the parallel single- and multi-threaded versions
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  <description>
A 3D FFT library for sparse frequency domain data written in C++ with
support for MPI, OpenMP, CUDA and ROCm.

Inspired by the need of some computational material science applications
with spherical cutoff data in frequency domain, SpFFT provides Fast
Fourier Transformations of sparse frequency domain data. For distributed
computations with MPI, slab decomposition in space domain and pencil
decomposition in frequency domain (sparse data within a pencil / column
must be on one rank) is used.


- Sparse frequency domain input
- Reuse of pre-allocated memory
- Support for shifted indexing with centered zero-frequency
- Optional parallelization and GPU acceleration
- Unified interface for calculations on CPUs and GPUs
- Support of Complex-To-Real and Real-To-Complex transforms, where the full
hermitian symmetry property is utilized
- C++, C and Fortran interfaces


To allow for pre-allocation and reuse of memory, the design is based on two
classes:

- **Grid**: Provides memory for transforms up to a given size.
- **Transform**: Created with information on sparse input data and is
associated with a *Grid*. Maximum size is limited by *Grid* dimensions.
Internal reference counting to *Grid* objects guarantee a valid state
until *Transform* object destruction.

A transform can be computed in-place and out-of-place. Additionally, an
internally allocated work buffer can optionally be used for input / output
of space domain data.

This package contains the parallel single- and multi-threaded versions
using OpenMPI.</description>
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  <summary>Sparse 3D FFT library</summary>
  <description>
A 3D FFT library for sparse frequency domain data written in C++ with
support for MPI, OpenMP, CUDA and ROCm.

Inspired by the need of some computational material science applications
with spherical cutoff data in frequency domain, SpFFT provides Fast
Fourier Transformations of sparse frequency domain data. For distributed
computations with MPI, slab decomposition in space domain and pencil
decomposition in frequency domain (sparse data within a pencil / column
must be on one rank) is used.


- Sparse frequency domain input
- Reuse of pre-allocated memory
- Support for shifted indexing with centered zero-frequency
- Optional parallelization and GPU acceleration
- Unified interface for calculations on CPUs and GPUs
- Support of Complex-To-Real and Real-To-Complex transforms, where the full
hermitian symmetry property is utilized
- C++, C and Fortran interfaces


To allow for pre-allocation and reuse of memory, the design is based on two
classes:

- **Grid**: Provides memory for transforms up to a given size.
- **Transform**: Created with information on sparse input data and is
associated with a *Grid*. Maximum size is limited by *Grid* dimensions.
Internal reference counting to *Grid* objects guarantee a valid state
until *Transform* object destruction.

A transform can be computed in-place and out-of-place. Addtionally, an
internally allocated work buffer can optionally be used for input / output
of space domain data.</description>
  <packager></packager>
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  <description>
A 3D FFT library for sparse frequency domain data written in C++ with
support for MPI, OpenMP, CUDA and ROCm.

Inspired by the need of some computational material science applications
with spherical cutoff data in frequency domain, SpFFT provides Fast
Fourier Transformations of sparse frequency domain data. For distributed
computations with MPI, slab decomposition in space domain and pencil
decomposition in frequency domain (sparse data within a pencil / column
must be on one rank) is used.


- Sparse frequency domain input
- Reuse of pre-allocated memory
- Support for shifted indexing with centered zero-frequency
- Optional parallelization and GPU acceleration
- Unified interface for calculations on CPUs and GPUs
- Support of Complex-To-Real and Real-To-Complex transforms, where the full
hermitian symmetry property is utilized
- C++, C and Fortran interfaces


To allow for pre-allocation and reuse of memory, the design is based on two
classes:

- **Grid**: Provides memory for transforms up to a given size.
- **Transform**: Created with information on sparse input data and is
associated with a *Grid*. Maximum size is limited by *Grid* dimensions.
Internal reference counting to *Grid* objects guarantee a valid state
until *Transform* object destruction.

A transform can be computed in-place and out-of-place. Addtionally, an
internally allocated work buffer can optionally be used for input / output
of space domain data.</description>
  <packager></packager>
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A 3D FFT library for sparse frequency domain data written in C++ with
support for MPI, OpenMP, CUDA and ROCm.

Inspired by the need of some computational material science applications
with spherical cutoff data in frequency domain, SpFFT provides Fast
Fourier Transformations of sparse frequency domain data. For distributed
computations with MPI, slab decomposition in space domain and pencil
decomposition in frequency domain (sparse data within a pencil / column
must be on one rank) is used.


- Sparse frequency domain input
- Reuse of pre-allocated memory
- Support for shifted indexing with centered zero-frequency
- Optional parallelization and GPU acceleration
- Unified interface for calculations on CPUs and GPUs
- Support of Complex-To-Real and Real-To-Complex transforms, where the full
hermitian symmetry property is utilized
- C++, C and Fortran interfaces


To allow for pre-allocation and reuse of memory, the design is based on two
classes:

- **Grid**: Provides memory for transforms up to a given size.
- **Transform**: Created with information on sparse input data and is
associated with a *Grid*. Maximum size is limited by *Grid* dimensions.
Internal reference counting to *Grid* objects guarantee a valid state
until *Transform* object destruction.

A transform can be computed in-place and out-of-place. Addtionally, an
internally allocated work buffer can optionally be used for input / output
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A 3D FFT library for sparse frequency domain data written in C++ with
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Inspired by the need of some computational material science applications
with spherical cutoff data in frequency domain, SpFFT provides Fast
Fourier Transformations of sparse frequency domain data. For distributed
computations with MPI, slab decomposition in space domain and pencil
decomposition in frequency domain (sparse data within a pencil / column
must be on one rank) is used.


- Sparse frequency domain input
- Reuse of pre-allocated memory
- Support for shifted indexing with centered zero-frequency
- Optional parallelization and GPU acceleration
- Unified interface for calculations on CPUs and GPUs
- Support of Complex-To-Real and Real-To-Complex transforms, where the full
hermitian symmetry property is utilized
- C++, C and Fortran interfaces


To allow for pre-allocation and reuse of memory, the design is based on two
classes:

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- **Transform**: Created with information on sparse input data and is
associated with a *Grid*. Maximum size is limited by *Grid* dimensions.
Internal reference counting to *Grid* objects guarantee a valid state
until *Transform* object destruction.

A transform can be computed in-place and out-of-place. Addtionally, an
internally allocated work buffer can optionally be used for input / output
of space domain data.

This package contains the parallel single- and multi-threaded versions
using mpich.</description>
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Inspired by the need of some computational material science applications
with spherical cutoff data in frequency domain, SpFFT provides Fast
Fourier Transformations of sparse frequency domain data. For distributed
computations with MPI, slab decomposition in space domain and pencil
decomposition in frequency domain (sparse data within a pencil / column
must be on one rank) is used.


- Sparse frequency domain input
- Reuse of pre-allocated memory
- Support for shifted indexing with centered zero-frequency
- Optional parallelization and GPU acceleration
- Unified interface for calculations on CPUs and GPUs
- Support of Complex-To-Real and Real-To-Complex transforms, where the full
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- C++, C and Fortran interfaces


To allow for pre-allocation and reuse of memory, the design is based on two
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- **Grid**: Provides memory for transforms up to a given size.
- **Transform**: Created with information on sparse input data and is
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Internal reference counting to *Grid* objects guarantee a valid state
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internally allocated work buffer can optionally be used for input / output
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This package contains the parallel single- and multi-threaded versions
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A 3D FFT library for sparse frequency domain data written in C++ with
support for MPI, OpenMP, CUDA and ROCm.

Inspired by the need of some computational material science applications
with spherical cutoff data in frequency domain, SpFFT provides Fast
Fourier Transformations of sparse frequency domain data. For distributed
computations with MPI, slab decomposition in space domain and pencil
decomposition in frequency domain (sparse data within a pencil / column
must be on one rank) is used.


- Sparse frequency domain input
- Reuse of pre-allocated memory
- Support for shifted indexing with centered zero-frequency
- Optional parallelization and GPU acceleration
- Unified interface for calculations on CPUs and GPUs
- Support of Complex-To-Real and Real-To-Complex transforms, where the full
hermitian symmetry property is utilized
- C++, C and Fortran interfaces


To allow for pre-allocation and reuse of memory, the design is based on two
classes:

- **Grid**: Provides memory for transforms up to a given size.
- **Transform**: Created with information on sparse input data and is
associated with a *Grid*. Maximum size is limited by *Grid* dimensions.
Internal reference counting to *Grid* objects guarantee a valid state
until *Transform* object destruction.

A transform can be computed in-place and out-of-place. Addtionally, an
internally allocated work buffer can optionally be used for input / output
of space domain data.

This package contains the parallel single- and multi-threaded versions
using OpenMPI.</description>
  <packager></packager>
  <url>https://github.com/eth-cscs/SpFFT</url>
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Debug information is useful when developing applications that use this
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  <summary>SpFFT - openmpi version single precision</summary>
  <description>
A 3D FFT library for sparse frequency domain data written in C++ with
support for MPI, OpenMP, CUDA and ROCm.

Inspired by the need of some computational material science applications
with spherical cutoff data in frequency domain, SpFFT provides Fast
Fourier Transformations of sparse frequency domain data. For distributed
computations with MPI, slab decomposition in space domain and pencil
decomposition in frequency domain (sparse data within a pencil / column
must be on one rank) is used.


- Sparse frequency domain input
- Reuse of pre-allocated memory
- Support for shifted indexing with centered zero-frequency
- Optional parallelization and GPU acceleration
- Unified interface for calculations on CPUs and GPUs
- Support of Complex-To-Real and Real-To-Complex transforms, where the full
hermitian symmetry property is utilized
- C++, C and Fortran interfaces


To allow for pre-allocation and reuse of memory, the design is based on two
classes:

- **Grid**: Provides memory for transforms up to a given size.
- **Transform**: Created with information on sparse input data and is
associated with a *Grid*. Maximum size is limited by *Grid* dimensions.
Internal reference counting to *Grid* objects guarantee a valid state
until *Transform* object destruction.

A transform can be computed in-place and out-of-place. Addtionally, an
internally allocated work buffer can optionally be used for input / output
of space domain data.

This package contains the parallel single- and multi-threaded versions
using OpenMPI.</description>
  <packager></packager>
  <url>https://github.com/eth-cscs/SpFFT</url>
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Debug information is useful when developing applications that use this
package or when debugging this package.</description>
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