Programming-Language-Benchmarks
Oberon
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Programming-Language-Benchmarks | Oberon | |
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19 | 76 | |
592 | 423 | |
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5.3 | 7.4 | |
about 1 month ago | about 1 month ago | |
C# | C++ | |
MIT License | GNU General Public License v3.0 only |
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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
Oberon
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Boehm Garbage Collector
> Sure there's a small overhead to smart pointers
Not so small, and it has the potential to significantly speed down an application when not used wisely. Here are e.g. some measurements where the programmer used C++11 and did everything with smart pointers: https://github.com/smarr/are-we-fast-yet/issues/80#issuecomm.... There was a speed down between factor 2 and 10 compared with the C++98 implementation. Also remember that smart pointers create memory leaks when used with circular references, and there is an additional memory allocation involved with each smart pointer.
> Garbage collection has an overhead too of course
The Boehm GC is surprisingly efficient. See e.g. these measurements: https://github.com/rochus-keller/Oberon/blob/master/testcase.... The same benchmark suite as above is compared with different versions of Mono (using the generational GC) and the C code (using Boehm GC) generated with my Oberon compiler. The latter only is 20% slower than the native C++98 version, and still twice as fast as Mono 5.
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Niklaus Wirth, or the Importance of Being Simple
Great, thanks!
There are books online for free, e.g.
https://people.inf.ethz.ch/wirth/ProgInOberonWR.pdf
and https://ssw.jku.at/Research/Books/Oberon2.pdf
Oberon+ is a superset of Oberon 90 and Oberon-2. Here is more information: https://oberon-lang.github.io/, and here is the current language specification: https://github.com/oberon-lang/specification/blob/master/The.... I already had valuable feedback here on HN concerning the channel extensions. Further research brought me to the conclusion, that Oberon+ should support both, channels and also monitors, because even in Go, the sync package primitives are used twice as much as channels. Mutexes and condition variables can be emulated with channels (I tried my luck here: https://www.quora.com/How-can-we-emulate-mutexes-and-conditi...), but for efficiency reasons I think monitors should be directly supported in the language as well, even if it might collide with the goal of simplicity.
Feel free to comment here or e.g. in https://github.com/rochus-keller/Oberon/discussions/45.
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Tex-Oberon: Make Project Oberon Pretty Again
> Does anyone know why Wirth never modernized his style?
Readability. It's easier to read the source code with uppercase keywords. (I think Wirth once said that code is written once but read many times). See this source code - https://raw.githubusercontent.com/rochus-keller/OberonSystem... - to get an idea of this (the uppercase keywords allow you to easily scan the blocks of code). Ofcourse, one can claim that the same can be achieved better today with colour-coded keywords.
If I remember right, the Oberon+ IDE - https://github.com/rochus-keller/Oberon - gives you an option to disable this and use lowercase keywords.
- FreeOberon cross-platform Oberon language IDD
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Project Oberon (New Edition 2013)
> gain a deep understanding of it .. generate smaller subsets of the system
You can use the OberonViewer for this purpose with the original source code, or the Oberon IDE with a version of the Project Oberon System which runs with SDL on all platforms, see https://github.com/rochus-keller/oberon/#binary-versions and https://github.com/rochus-keller/OberonSystem/tree/FFI
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KolibriOS on Single Floppy Disk
> Regardless, which one is more likely to be ported to a different architecture in the future?
Not sure I understand the question. I'm talking about CPU architectures. The current implementation is in x86 assembler. So if you want to run it on AMD64 or ARM, then you have to replace all assembler files, in the present case probable the full source code.
> what are the comparative performance benchmarks of the low-level language versus the high-level language?
I don't have any measurements. But consider that many operating systems are implemented in C (e.g. Linux) with only isolated parts in assembler, so it is easier to port to other architectures. Linux apparently is fast enough and available for nearly every CPU. Oberon in contrast to C is garbage collected, which also affects performance. I have measurements comparing the same benchmark suite implemented in C++ and in Oberon, where the former is about 22% faster (see https://github.com/rochus-keller/Oberon/blob/master/testcase...).
- Why Use Pascal?
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C or LLVM for a fast backend?
I actually had a similar problem some years ago and finally moved away from LLVM because of complexity, continuous research effort and performance. My current Oberon+ implementation works like this: the CIL code generator together with Mono is used during development, integrated with the IDE, using the debugging features integrated in Mono; to deploy the application and to gain another factor 2 of performance C99 instead of CIL can be generated and compiled with any compatible toolchain. Here are some performance measurements: https://github.com/rochus-keller/Oberon/blob/master/testcases/Are-we-fast-yet/Are-we-fast-yet_results_linux.pdf. Compiling to CIL is very fast and the time Mono needs to compile and run is barely noticable.
- Do transpilers just use a lot of string manipulation and concatenation to output the target language?
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Native AOT Overview
> annoying aspects was requiring the .NET runtime ... OpenJDK is a blessed implementation in a way that Mono never was
Which is unjustified, because Mono CLR is just a single executable less than 5 MB which you can download and run without a complicated installation process (see e.g. https://github.com/rochus-keller/Oberon/#binary-versions ). AOT compilation on the other hand is a huge and complex installation depending on a lot of stuff including LLVM, and the resulting executables are not really smaller than the CLR + mscorlib + app.
What are some alternatives?
Programming-Language-Benchmark
oberon-riscv - Oberon RISC-V port, based on Samuel Falvo's RISC-V compiler and Peter de Wachter's Project Norebo. Part of an academic project to evaluate Project Oberon on RISC-V.
svix-webhooks - The enterprise-ready webhooks service 🦀
MoarVM - A VM with adaptive optimization and JIT compilation, built for Rakudo
rust-csharp-ffi - An example Rust + C# hybrid application
Smalltalk - Parser, code model, interpreter and navigable browser for the original Xerox Smalltalk-80 v2 sources and virtual image file
Game-Of-Life-Implementations - Conway's Game of Life implementation in various languages
tectonic - A modernized, complete, self-contained TeX/LaTeX engine, powered by XeTeX and TeXLive.
sb-simd - A convenient SIMD interface for SBCL.
aws-lambda-rust-runtime - A Rust runtime for AWS Lambda
lish - Lisp Shell
atldotnet - Fully managed, portable and easy-to-use C# library to read and edit audio data and metadata (tags) from various audio formats, playlists and CUE sheets