Som
simplelanguage
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Som | simplelanguage | |
---|---|---|
8 | 6 | |
22 | 589 | |
- | 0.5% | |
0.0 | 4.8 | |
over 1 year ago | 6 months ago | |
C++ | Java | |
GNU General Public License v3.0 only | Universal Permissive License v1.0 |
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Som
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Making Smalltalk on a Raspberry Pi (2020)
> Smalltalkish
Have a look at the SOM dialect which is successfully used in education: http://som-st.github.io/
Here is an implementation in C++ which runs on LuaJIT: https://github.com/rochus-keller/Som/
> unfortunately out of print book Smalltalk 80: the language and its implementation is commonly recommended
I assume you know this link: http://stephane.ducasse.free.fr/FreeBooks/BlueBook/Bluebook....
Here is an implementation in C++ and Lua: https://github.com/rochus-keller/Smalltalk
- Do transpilers just use a lot of string manipulation and concatenation to output the target language?
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Ask HN: Admittedly Useless Side Projects?
- https://github.com/rochus-keller/Smalltalk/ Parser, code model, interpreter and navigable browser for the original Xerox Smalltalk-80 v2 sources and virtual image file
- https://github.com/rochus-keller/Som/ Parser, code model, navigable browser and VM for the SOM Smalltalk dialect
- https://github.com/rochus-keller/Simula A Simula 67 parser written in C++ and Qt
> do you regret those endeavours?
No, not in any way; the projects were very entertaining and gave me interesting insights.
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Ask HN: Recommendation for general purpose JIT compiler
If your DSL is statically typed then I recommend that you have a look at the Mono CLR; it's compatible with the ECMA-335 standard and the IR (CIL) is well documented, even with secondary literature.
If your DSL is dynamically typed I recommend LuaJIT; the bytecode is lean and documented (not as good as CIL though). LuaJIT also works well with statically typed languages, but Mono is faster in the latter case. Even if it was originally built for Lua any compiler can generate LuaJIT bytecode.
Both approaches are lean (Mono about 8 MB, LuaJIT about 1 MB), general purpose, available on many platforms and work well (see e.g. https://github.com/rochus-keller/Oberon/ and https://github.com/rochus-keller/Som/).
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When is Smalltalk's speed an issue?
At the latest when you run a benchmark suite like Are-we-fast-yet; here are some measurment results: http://software.rochus-keller.info/are-we-fast-yet_crystal_lua_node_som_pharo_i386_results_2020-12-29.pdf. See also https://github.com/rochus-keller/Som/ and https://github.com/rochus-keller/Smalltalk.
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LuaJIT for backend?
LuaJIT is well suited as a backend/runtime environment for custom languages; I did it several times (see e.g. https://github.com/rochus-keller/Smalltalk, https://github.com/rochus-keller/Som/, https://github.com/rochus-keller/Oberon/). I also implemented a bit of infrastructure to ease the reuse: https://github.com/rochus-keller/LjTools. LuaJIT has some limitations though; if you require closures you have to know that the corresponding LuaJIT FNEW bytecode is not yet supported by the JIT, i.e. switches to the interpreter; as a work-around I implemented my own closures; LuaJIT also doesn't support multi-threading, but co-routines; and there is no debugger, and the infrastructure to implement one has limitations (i.e. performance is low when running to breakpoints). For most of my projects this was no issue. Recently I switched to CIL/Mono for my Oberon+ implementation which was a good move. But still I consider LuaJIT a good choice if you can cope with the mentioned limitations. The major advantage of LuaJIT is the small footprint and impressive performance for dynamic languages.
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Optimizing an old interpreted language: where to begin?
One option is to leverage someone else's JIT: you could, for example, rewrite the interpreter to transpile to Lua source, which is then run in LuaJIT. There's a Smalltalk dialect which does this successfully; the Lua version runs in 1/12th the time of the C interpreted version. https://github.com/rochus-keller/Som You can use LuaJIT's FFI to call back into the Stunt server, or else just rewrite it completely in Lua --- large parts of the Stunt server will just go away in a native Lua implementation (e.g. the object database is just a table). Javascript would be another candidate for this.
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JITted lang which is faster than C?
This is a completely different kind of measurement; unfortunately this is not clear enough from my Readme. I wanted to find out, how well my naive Bluebook interpreter performs on LuaJIT (using my virtual meta tracing approach) compared to Cog, which is a dedicatd Smalltalk VM optimized with whatever genious approaches over two decades (or even longer considering the long experience record by Elliot). This experiment continues in https://github.com/rochus-keller/Som, because I didn't want to modify the original Smalltalk image. I found that my naive LuaJIT based approach is about factor seven behind the highly optimized Cog/Spur, and further improvements would require similar optimization tricks as in the latter.
simplelanguage
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Dada, an Experiement by the Creators of Rust
That sort of stuff is easy to do with Truffle (which, ironically, lets you define a language using what they call the "truffle dsl").
The SimpleLanguage tutorial language has a bigint style number scheme with efficient optimization:
https://github.com/graalvm/simplelanguage/blob/master/langua...
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Apple releases Pkl – onfiguration as code language
Truffle has no opinion on how you parse the sources. It cares about how you execute them from an intermediate Truffle guided representation produced by the parser.
In other words antlr and truffle are a great fit. We even use this pairing for our example language simplelanguage.
https://github.com/graalvm/simplelanguage
- PL Scaffolding project?
- Ask HN: Recommendation for general purpose JIT compiler
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GraalVM 22.1: Developer experience improvements, Apple Silicon builds, and more
Do you have any feedback on how we could improve the docs? If so, please let us know!
I believe the easiest way to start a new Truffle language implementation is to fork SimpleLanguage [1] and turn it into your language. Did you try to do that?
[1] https://github.com/graalvm/simplelanguage
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Where would you recommend starting if I want to make my own programming language?
Finally, I would suggest you to take a look at the Truffle/GraalVM ecosystem(https://www.graalvm.org/graalvm-as-a-platform/language-implementation-framework/). The documentation is not exactly very elaborate, but a few good resources are Mumbler(http://cesquivias.github.io/blog/2014/10/13/writing-a-language-in-truffle-part-1-a-simple-slow-interpreter/#mumbler-language), SimpleLanguage(https://github.com/graalvm/simplelanguage), and (https://www.endoflineblog.com/graal-truffle-tutorial-part-4-parsing-and-the-trufflelanguage-class).
What are some alternatives?
Smalltalk - Parser, code model, interpreter and navigable browser for the original Xerox Smalltalk-80 v2 sources and virtual image file
graalvm-kotlin-native-image-sample - Example project showing how to build a native, static executable from a Kotlin project using GraalVM
rockstar - Makes you a Rockstar C++ Programmer in 2 minutes
minivm - A VM That is Dynamic and Fast
qbe-rs - QBE IR in natural Rust data structures
jet - CLI to transform between JSON, EDN, YAML and Transit using Clojure
ubpf - Userspace eBPF VM
clj-kondo - Static analyzer and linter for Clojure code that sparks joy
sljit - Platform independent low-level JIT compiler
mir - A lightweight JIT compiler based on MIR (Medium Internal Representation) and C11 JIT compiler and interpreter based on MIR
Oberon - Oberon parser, code model & browser, compiler and IDE with debugger
holy-lambda - The extraordinary simple, performant, and extensible custom AWS Lambda runtime for Clojure.