Programming-Language-Benchmarks
sb-simd
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Programming-Language-Benchmarks | sb-simd | |
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19 | 11 | |
592 | 72 | |
- | - | |
5.3 | 8.4 | |
about 1 month ago | almost 2 years ago | |
C# | Common Lisp | |
MIT License | MIT License |
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Programming-Language-Benchmarks
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A Comprehensive Introduction to Golang
The benchmark available at https://programming-language-benchmarks.vercel.app/ demonstrates that Golang stands out as one of the most memory-efficient languages presently available. This achievement is attributable to several inherent features of Golang, such as its static typing, robust garbage collection system, and the inherent structuring of data within the language. These traits collectively contribute to Golang's exceptional efficiency in terms of minimal memory consumption compared to other languages.
- Rust vs Zig Benchmarks
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Ask HN: What are some of the most elegant codebases in your favorite language?
I found Zig implementation of json parsing is interesting. The code is free from hidden control flow !.
https://github.com/hanabi1224/Programming-Language-Benchmark...
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why does this while loop run instantly
I think https://programming-language-benchmarks.vercel.app/ is a good starting point to compare languages and compilers, also implementations are optimized for the specific language so you don't end up with a poorly ported c++ implementation in rust and wonder why it performs so bad.
- Why did tiger beetle choose zig over rust?
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How fast is JIT compiled Lua/JavaScript compared to static compiled C++ and Rust measured in runtime?
It varies a lot depending on what the code consists of, but if you want concrete numbers for certain benchmarks, this site might be of interest: https://programming-language-benchmarks.vercel.app/
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Speed Comparisons: JavaScript vs Python vs C vs Rust
There is not "one real" benchmark. In the end, all you can do is test languages for a specific feature / purpose. You can see how many different suggestions people have here, and here (I think) you can see the difficulties of comparing languages. That site uses quite a lot of algorithms / problems with multiple inputs, single and multithreaded, with different optimization flags (where applicable) and so on paired with different languages, and it's a mess. Sometimes one language is on top, sometimes another. (I mean, python will very rarely beat pure C, but I wont rule out that someone already created an edge case just to refute exactly this point)
- how to benchmark a programming language
- The original computer languages benchmark is back
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Comparing Elixir with Rust and Go
Hello, World!: Elixir vs. Go vs. Rust
sb-simd
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The Usability of Advanced Type Systems: Rust as a Case Study
> fully dynamic
Well, no, it's SBCL. Common Lisp has support for types, but most compilers only use them for optimization, SBCL goes one step further and emits warnings when you mismatch types. And looking at the code, I can see lots of type declarations.
It's also interesting to note that the code does not seem to be using SBCL's new SIMD library*, so it could be sped up even more.
* <https://github.com/marcoheisig/sb-simd>, see the texinfo file for documentation.
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Implementation comparison
I suppose that using arrays + using SIMD instructions could be even faster. Someone is already doing that: https://github.com/marcoheisig/sb-simd/blob/master/examples/simd-dot.lisp .
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Which programming language or compiler is faster
Common Lisp (sbcl) performance via native implementation of simd [0] is very impressive ! It is litteraly acheieving C/Cpp speeds (within few ms). Great work by Marco Heisig
[0] https://github.com/marcoheisig/sb-simd
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sb-simd vectorization speed
Here is another demonstration of how effective SIMD vectorization can be using sb-simd.
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Quite amazing SBCL benchmark speed with sb-simd vectorization
You can see on Programming Language and Compiler Benchmark site the amazing speed of SBCL when sb-simd is used for vectorization.
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How to speed up array writes?
For SBCL-specific, Marco and Bela have put in a ton of work at sb-simd - may be the OP finds the relevant simd interface there!
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Programming Language and compiler Benchmarks
And sb-simd is getting very-very impressive to say the least thanks to Marco Heisig.
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Best Lisp(s) for Functional & (seperately) Systems programming?
You can use sb-simd for manual vectorisation with SBCL. Manual vectorisation is definitely more hassle than automatic vectorisation, but often worth it.
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Common Lisp (SBCL) slower than Python 3.9?
Fully agreed. One more library that could open up areas is also coming soon. Though documentation is still to be written. Please check sb-simd I wish I could have supported Marco even more.
- Question about Cons cell implementations
What are some alternatives?
Programming-Language-Benchmark
sbcl - Mirror of Steel Bank Common Lisp (SBCL)'s official repository
svix-webhooks - The enterprise-ready webhooks service 🦀
PrimesResult - The results of the Dave Plummer's Primes Drag Race
rust-csharp-ffi - An example Rust + C# hybrid application
sleef - SIMD Library for Evaluating Elementary Functions, vectorized libm and DFT
Game-Of-Life-Implementations - Conway's Game of Life implementation in various languages
kandria - A post-apocalyptic actionRPG. Now on Steam!
lish - Lisp Shell
Carp - A statically typed lisp, without a GC, for real-time applications.
CSharpWasmBenchmark - Comparing the performances of C# Runtime, C# Wasm AOT, C# Wasm Interpreted and JavaScript.
doom-emacs - An Emacs framework for the stubborn martian hacker [Moved to: https://github.com/doomemacs/doomemacs]