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Prikvačeni tweet
But in a time when 50 megabytes of memory chips can be obtained for under $4000, there is less need for complex GC algorithms. Such techniques as reference-counting, ephemeral GC, closure analysis, etc., may not really be necessary now that it is possible to use massive memories.
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A64m_qb0 proslijedio/la je Tweet
You might also enjoy lens-filesystem for wrangling and loading all those files!https://github.com/ChrisPenner/lens-filesystem …
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A64m_qb0 proslijedio/la je Tweet
Sigh. Just deleted all my repos from bitbucket, migrating them to git and github. The dropping of Mercurial support is quite sad.
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A64m_qb0 proslijedio/la je Tweet
Just launched 'lens-csv'; an optics library for manipulating and querying CSVs! It's a pretty natural operation and basically gives you a simple query and mutation language; effectively SQL for CSVs but as optics!https://github.com/ChrisPenner/lens-csv …
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1. Succ Haskell 2. Lazy Idris 3. ATS 5https://twitter.com/rohitdbasu/status/1223693865883848704 …
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aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa (mentally preparing myself to see a lot of SIGSEGV)pic.twitter.com/JHMDRloDI8
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For anyone dares to try out: https://github.com/csabahruska/manual-stg-experiment … This is quite raw. But I'm working on a better/cleaner solution to make GHC codegen/RTS reusable.
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A64m_qb0 proslijedio/la je Tweet
At this point it is looking likely that GHC will be moving to LLVM as its native toolchain on Windows; this will hopefully allow us to bypass many of the path and process issues that we have been historically fought with. Current plan can be found here:https://gitlab.haskell.org/ghc/ghc/issues/17777 …
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A64m_qb0 proslijedio/la je Tweet
Programming languages without garbage collection send us down a long path of design decisions that lead to slow compile times and fragile runtime performance cliffs.
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A64m_qb0 proslijedio/la je Tweet
Finally landed this one. Final numbers: - 77 changed files, +1132, -1030 - 292 comments in the MR - 91 CI runs - 7 months in the works Commit: https://gitlab.haskell.org/ghc/ghc/commit/c846618ae0f8601515683a4c7677c20c3272a50f …https://twitter.com/_osa1/status/1217433344029470721 …
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It's taken a while, as he decided to make it compatible with 64-bit systems before releasing it, but, as I hinted at Code Mesh, David Turner has now released the Miranda programming language under a BSD licence: http://miranda.org.uk/
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кроме Typeable (Coercible - не тайпкласс)https://twitter.com/Iceland_jack/status/1223063543907405824 …
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A64m_qb0 proslijedio/la je Tweet
WebAssembly brings SIMD support to the Web. What is it?
@dptig and@tlively52 explain and demonstrate how to use it to run native code on the Web even faster!
https://v8.dev/features/simd
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A64m_qb0 proslijedio/la je Tweet
A lot gets written about how to write Haskell code, but much less about how to successfully hunt down performance bugs using profiling. That makes our latest blog post all the more interesting: “Locating performance bottlenecks in large Haskell codebases”https://www.tweag.io/posts/2020-01-30-haskell-profiling.html …
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этот тред, конечно, бездонный колодец мудрости, хочется ретвитнуть буквально каждый реплай оттуда
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They did it anyway :) https://gankra.github.io/blah/swift-abi/
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A64m_qb0 proslijedio/la je Tweet
I remember intensional type analysis being a pretty painful mess in Rust; does Swift have characteristics that makes it easier or did they just do it anyway?
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Haskell has a uniform type representation. If you go down that road with a language like Rust you end up with Swift-like intensional type analysis, which gets hairy really fast.
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A64m_qb0 proslijedio/la je Tweet
I don’t think you’d need a full bytecode interpreter to support runtime polymorphism, but just a bunch of RTTI mojo for boxing and unboxing values, and looking up traits by type via dictionary. Haskell type classes are implemented this way.
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