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Update base library to v2.3.0 (#67)
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ludvigak authored Sep 11, 2024
1 parent 04fd2f2 commit 2a54a96
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8 changes: 4 additions & 4 deletions Project.toml
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name = "FINUFFT"
uuid = "d8beea63-0952-562e-9c6a-8e8ef7364055"
author = "Ludvig af Klinteberg <ludvig.af.klinteberg@mdu.se>"
version = "3.2.0"
version = "3.3.0"

[deps]
Requires = "ae029012-a4dd-5104-9daa-d747884805df"
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[compat]
Requires = "1.3"
cufinufft_jll = "2.2.0"
finufft_jll = "2.2.0"
julia = "1.3"
cufinufft_jll = "2.3.0"
finufft_jll = "2.3.0"
julia = "1.6"

[extras]
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
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6 changes: 3 additions & 3 deletions README.md
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[![codecov](https://codecov.io/gh/ludvigak/FINUFFT.jl/branch/master/graph/badge.svg?token=Tkx7kma18J)](https://codecov.io/gh/ludvigak/FINUFFT.jl)
[![](https://img.shields.io/badge/docs-latest-blue.svg)](https://ludvigak.github.io/FINUFFT.jl/latest/)

This is a full-featured Julia interface to [FINUFFT](https://github.com/flatironinstitute/finufft), which is a lightweight and fast parallel nonuniform fast Fourier transform (NUFFT) library released by the Flatiron Institute, and its GPU version cuFINUFFT. This interface stands at v3.x, and it uses FINUFFT version 2.2.0 (note that the interface version number is distinct from the version of the wrapped binary FINUFFT library).
This is a full-featured Julia interface to [FINUFFT](https://github.com/flatironinstitute/finufft), which is a lightweight and fast parallel nonuniform fast Fourier transform (NUFFT) library released by the Flatiron Institute, and its GPU version cuFINUFFT. This interface stands at v3.x, and it uses FINUFFT version 2.3.0 (note that the interface version number is distinct from the version of the wrapped binary FINUFFT library).

## Installation

FINUFFT.jl requires Julia v1.3 or later, and has been tested up to v1.9. From the Pkg REPL mode (hit `]` in REPL to enter), run
FINUFFT.jl requires Julia v1.6 or later, and has been tested up to v1.10. From the Pkg REPL mode (hit `]` in REPL to enter), run

```julia
add FINUFFT
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* [finufft_jll.jl](https://github.com/JuliaBinaryWrappers/finufft_jll.jl), which contains the CPU routines and has microarchitecture-specific builds (including `avx512`) for better performance.

* [cufinufft_jll.jl](https://github.com/JuliaBinaryWrappers/cufinufft_jll.jl), which contains the GPU routines (cuFINUFFT). This is only available for x86 GNU Linux, and is built for CUDA versions up to 12.5.
* [cufinufft_jll.jl](https://github.com/JuliaBinaryWrappers/cufinufft_jll.jl), which contains the GPU routines (cuFINUFFT). This is only available for x86 GNU Linux, and is built for CUDA versions up to 12.6.

To access the GPU interface, CUDA.jl must be installed through `add CUDA`

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Registration pull request created: JuliaRegistries/General/115026

Tip: Release Notes

Did you know you can add release notes too? Just add markdown formatted text underneath the comment after the text
"Release notes:" and it will be added to the registry PR, and if TagBot is installed it will also be added to the
release that TagBot creates. i.e.

@JuliaRegistrator register

Release notes:

## Breaking changes

- blah

To add them here just re-invoke and the PR will be updated.

Tagging

After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.

This will be done automatically if the Julia TagBot GitHub Action is installed, or can be done manually through the github interface, or via:

git tag -a v3.3.0 -m "<description of version>" 2a54a96d4257a77761f58041173d0754573d2b09
git push origin v3.3.0

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