simdutf
Wt
simdutf | Wt | |
---|---|---|
11 | 41 | |
960 | 1,647 | |
4.8% | 1.8% | |
9.1 | 8.7 | |
3 days ago | 25 days ago | |
C++ | C | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
simdutf
- Glibc Buffer Overflow in Iconv
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Vectorizing Unicode conversions on real RISC-V hardware
The project was mostly inspired by simdutf [0] which has been around for a couple of years already, and I don't think iconv has any of its vectorized implementations for other architectures.
[0] https://github.com/simdutf/simdutf
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Cray-1 performance vs. modern CPUs
I'm actually doing something quite similar in my, in progress, unicode conversion routines.
For utf8 validation there is a clever algorithm that uses three 4-bit look-ups to detect utf8 errors: https://github.com/simdutf/simdutf/blob/master/src/icelake/i...
Aside on LMUL, if you haven't encountered it yet: rvv allows you to group vector registers when configuring the vector configuration with vsetvl such that vector instruction operate on multiple vector registers at once. That is, with LMUL=1 you have v0,v1...v31. With LMUL=2 you effectively have v0,v2,...v30, where each vector register is twice as large. with LMUL=4 v0,v4,...v28, with LMUL=8 v0,v8,...v24.
In my code, I happen to read the data with LMUL=2. The trivial implementation would just call vrgather.vv with LMUL=2, but since we only need a lookup table with 128 bits, LMUL=1 would be enough to store the lookup table (V requires a minimum VLEN of 128 bits).
So instead I do six LMUL=1 vrgather.vv's instead of three LMUL=2 vrgather.vv's because there is no lane crossing required and this will run faster in hardware: (see [0] for a relevant mico benchmark)
# codegen for equivalent of that function
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What C++ library do you wish existed but hasn’t been created yet?
utf8 normalization, stemming, case insensitive comparison. https://github.com/unicode-rs example for rust What are options for C++? 1. translate to utf16 ( https://github.com/simdutf/simdutf ) and use icu -- slow 2. boost text, https://github.com/tzlaine/text , also slow (because the author doesn't care or couldn't care), we made a lot of patches to make our library faster than lucene, but still this part is slower than icu for utf16 (icu for utf16 also very slow...)
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[Preprint] Transcoding Unicode Characters with AVX-512 Instructions
You can find the corresponding assembly code in this repository. The main branch only contains implementations based on C++ with intrinsics.
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What's everyone working on this week (10/2023)?
The next big thing is making it LSP-compatible. All language servers must implement UTF-16 based character offsets, which is kinda unfortunate considering that files are much more likely to be stored in UTF-8 (I think?). I don't want to do the UTF-8 -> UTF-16 transcoding, so instead I'll use the excellent simdutf library to count how much code points a UTF-8 string would take if it was transcoded into UTF-16 — which is much faster than actual transcoding. So this is what I'm going to do this week — rewriting parsers to produce UTF-16 offsets + some final benchmarking. After that is done, I'll consider the "research" part of this project completed and will start writing an actual Markdown parser.
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Why would a language not natively support SIMD?
You can find the assembly code here: https://github.com/simdutf/simdutf/tree/clausecker The corresponding C++ code is in the main branch.
- High speed Unicode routines using SIMD
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text-2.0-rc1 with UTF8 underlying representation is available for testing!
Or via an ultrafast simdutf.
- Simdutf: Unicode validation and transcoding at billions of characters per second
Wt
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What C++ library do you wish existed but hasn’t been created yet?
Take a look at Wt Webtoolkit. It can do exactly this (and a lot more) https://www.webtoolkit.eu/wt
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Nui C++ User Interface Library
How does this compare with WebToolkit?
- Has anyone embedded a web-UI into a C++ project?
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Cheerp 3.0: The most advanced C++ compiler for the Web now permissively licensed
How is this much different than wt [1] or compiling qt to emscripten? Sincere question.
[1] https://www.webtoolkit.eu/wt
- Launch HN: Pynecone (YC W23) – Web Apps in Pure Python
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The pool of talented C++ developers is running dry
Not posting to prove you wrong but simply because related.
> Wt is a web GUI library in modern C++. Quickly develop highly interactive web UIs with widgets, without having to write a single line of JavaScript. Wt handles all request handling and page rendering for you, so you can focus on functionality.
https://www.webtoolkit.eu/wt
HN submission: https://news.ycombinator.com/item?id=23812791
- Uses of Rust and C++ that only one has?
- Why are all web development frameworks are for high-end languages
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Who is using C++ for web development?
https://www.webtoolkit.eu/wt (has support for HTTP/S)
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Please advise me a c++ web framework.
Wt is a pretty cool framework: https://www.webtoolkit.eu/wt
What are some alternatives?
simdutf8 - SIMD-accelerated UTF-8 validation for Rust.
Crow - Crow is very fast and easy to use C++ micro web framework (inspired by Python Flask)
DirectXMath - DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps
TreeFrog Framework - TreeFrog Framework : High-speed C++ MVC Framework for Web Application
simde - Implementations of SIMD instruction sets for systems which don't natively support them.
CppCMS - CppCMS Framework
eve - Expressive Vector Engine - SIMD in C++ Goes Brrrr
drogon - Drogon: A C++14/17 based HTTP web application framework running on Linux/macOS/Unix/Windows [Moved to: https://github.com/drogonframework/drogon]
Vc - SIMD Vector Classes for C++
Oat++ - 🌱Light and powerful C++ web framework for highly scalable and resource-efficient web application. It's zero-dependency and easy-portable.
simdjson - Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
Cutelyst - A C++ Web Framework built on top of Qt, using the simple approach of Catalyst (Perl) framework.