swift
mimalloc
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swift | mimalloc | |
---|---|---|
214 | 35 | |
65,927 | 9,447 | |
0.8% | 2.4% | |
10.0 | 9.1 | |
1 day ago | 4 days ago | |
C++ | C | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
swift
- Swift: Differentiable Programming Manifesto
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Embedded Swift on the Raspberry Pi Pico
Because of C/C++ interop, and integration with CMake, you can just add Swift to a Zephyr project and it pretty much Just Works. [The docs](https://github.com/apple/swift/blob/main/docs/EmbeddedSwift/...) should mostly apply to the Zephyr SDK as well.
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A Deep Dive Into Observation: A New Way to Boost SwiftUI Performance
Fortunately, the Observation framework is part of the Swift 5.9 standard library. We can learn more information by examining its source code.
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Swift was always going to be part of the OS
They do! See https://github.com/apple/swift/blob/main/docs/LibraryEvoluti...
You can also see an example of what a different high level language integration with Swift ABI looks like here: https://github.com/dotnet/designs/blob/main/proposed/swift-i...
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Differentiable Swift
So is differentiable Swift a package for Swift or is it part of the Swift standard library? The video says go to swift.org but I can't find any info about differentiable Swift on that site.
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Beyond Backpropagation - Higher Order, Forward and Reverse-mode Automatic Differentiation for Tensorken
Swift's Differentiable Programming Manifesto. Swift has a powerful differentiable programming component, integrated with the compiler.
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Kotlin Multiplatform for Android and iOS Apps
You can do the same thing the other way around - https://github.com/apple/swift/blob/main/docs/Android.md.
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This isn’t the way to speed up Rust compile times
Codable (along with other derived conformances like Equatable, Hashable, and RawRepresentable) is indeed built in to the compiler[0], but unlike Serde, it operates during type-checking on a fully-constructed AST (with access to type information), manipulating the AST to insert code. Because it operates at a later stage of compilation and at a much higher level (with access to type information), the work necessary is significantly less.
With ongoing work for Swift macros, it may eventually be possible to rip this code out of the compiler and rewrite it as a macro, though it would need to be a semantic macro[1] rather a syntactic one, which isn't currently possible in Swift[2].
[0] https://github.com/apple/swift/blob/main/lib/Sema/DerivedCon...
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How does Swift implement primitive types in its standard library?
`Int` is a regular struct with a single stored property of type `Builtin.Word` . But the latter is a magical compiler built-in. Source for integer types is generated from this template - https://github.com/apple/swift/blob/9da65ca0a15fdf341649c994b0a77ec3b71f2687/stdlib/public/core/IntegerTypes.swift.gyb
- Catalog of All SwiftUI Changes?
mimalloc
- Mimalloc: High performance general purpose allocator
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Replacing musl's malloc with mimalloc: any ideas?
mimalloc: mimalloc is an open source implementation of malloc, currently the best performing allocator.
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Reptar
Some compiler writers thought that was the case, if [0] is related to OP. I don't have a "modern" (after 6th gen) Intel CPU to test it on, but note that most programs are compiled for a relatively generic CPU.
[0]: https://github.com/microsoft/mimalloc/issues/807
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Is the JVM a upside or downside to Scala?
Yes, it's very efficient and that's not where the main problem lies. However, small allocations with modern C heap allocators like mimalloc or snmalloc has gotten extremely efficient as well. Would be interesting to see a benchmark comparison with Java's G1 and ZGC.
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Z Garbage Collector: The Next Generation
Memory management for C is not itself a solved problem, not only is there a lot of performance to squeeze out of malloc itself (the benchmarks on https://github.com/microsoft/mimalloc exemplifies the variance between the implementations), but it's up to the programmer to implement memory management in the large in an efficient way, which is not an easy task. One sure mark of a slow C program is one with a ton of mallocs and frees strewn all over.
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Linux Tech Tips EP#13: Testing Transparent Huge Pages and Cryo Utilities in Gaming | 3700X 6600XT
It's a very terse howto for replacing Factorio's memory allocator with Microsoft's mimalloc, and configuring mimalloc so that memory is always allocated on huge pages by using madvise().
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Differences between Lean4 and Koka reference counting
I was wondering if Koka's perceus referencing counting style is any different from the reference counting that Lean4 implements? I understand that both rely upon the mimalloc (https://github.com/microsoft/mimalloc) library in the backend.
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pmr implementation in c++14
If you are fine with heap allocations then there are only few dozens operator new/delete to override to regain control over normal C++ code memory use. Allocators and STL all need to call those. At least that's what gaming does on all platforms. If you need examples you can check Mimalloc on github ( https://github.com/microsoft/mimalloc/blob/master/include/mimalloc-new-delete.h ).
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GitHub link to an Arma 3 allocator which increases performance by 20-50%
What's the difference between this and Microsoft's? https://github.com/microsoft/mimalloc
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Rust Mimalloc v0.1.31 has just been released!
Version 0.1.31 of the Rust wrapper for the mimalloc memory allocator has just been released!
What are some alternatives?
solidity - Solidity, the Smart Contract Programming Language
jemalloc
cpp-lazy - C++11/14/17/20 library for lazy evaluation
rpmalloc - Public domain cross platform lock free thread caching 16-byte aligned memory allocator implemented in C
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications
snmalloc - Message passing based allocator
tree-sitter - An incremental parsing system for programming tools
tbb - oneAPI Threading Building Blocks (oneTBB) [Moved to: https://github.com/oneapi-src/oneTBB]
hummingbird - Hummingbird compiles trained ML models into tensor computation for faster inference.
rust - Empowering everyone to build reliable and efficient software.
lobster - The Lobster Programming Language
Hoard - The Hoard Memory Allocator: A Fast, Scalable, and Memory-efficient Malloc for Linux, Windows, and Mac.