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2019 LLVM Developers’ Meeting: S. Abdulrasool “Porting by a 1000 Patches: Bringing Swift to Windows”

LLVM · Youtube · 2 HN points · 1 HN comments
HN Theater has aggregated all Hacker News stories and comments that mention LLVM's video "2019 LLVM Developers’ Meeting: S. Abdulrasool “Porting by a 1000 Patches: Bringing Swift to Windows”".
Youtube Summary
http://llvm.org/devmtg/2019-10/
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Porting by a 1000 Patches: Bringing Swift to Windows - Saleem Abdulrasool

Slides: https://llvm.org/devmtg/2019-10/slides/Abdulrasool-BringingSwiftToWindows.pdf
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Swift is a modern language based upon the LLVM compiler framework. It takes advantage of Clang to provide seamless interoperability with C/C++. The Swift compiler and language are designed to take advantage of modern Unix facilities to the fullest, and this made porting to Windows a particularly interesting task. This talk covers the story of bringing Swift to Windows from the ground up through an unusual route: cross-compilation on Linux. The talk will cover interesting challenges in porting the Swift compiler, standard library, and core libraries that were overcome in the process of bringing Swift to a platform that challenges the Unix design assumptions.
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Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference this video.
May 11, 2020 · 2 points, 0 comments · submitted by Austin_Conlon
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It won't go anywhere, Tensorflow for Swift only exists because of Chris Lattner.

Many researchers work on Windows, Swift has zero support there and when asked about it, they just kind of invite the Swift community to provide support.

So zero interest from either Apple or Google to make it work on Windows.

This is the latest status of Swift on Windows,

https://www.youtube.com/watch?v=Zjlxa1NIfJc

Then on Linux, Foundation support is still flaky, for basic stuff one still needs to do conditional compilation and directly import either Darwin or GLibc modules.

Swift is just like Objective-C, yes you can kind of use it outside Apple's ecosytem, but at expense of productivity and lack of adequate tooling.

Really I don't expect Tensorflow for Swift to ever reach mainstream adoption, maybe Google can sell it as Mac only and thus announce the project has having been a success.

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