FormCoreJS
HVM
FormCoreJS | HVM | |
---|---|---|
6 | 107 | |
69 | 7,156 | |
- | 2.4% | |
0.0 | 6.7 | |
almost 2 years ago | 2 months ago | |
JavaScript | Rust | |
- | MIT License |
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FormCoreJS
- FormCoreJS
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The Little Prover
>The core implementation is under 700 lines of JS, including the parser: https://github.com/moonad/FormCoreJS/blob/master/FormCore.js
Unfortunately, the source code size isn't the main problem with provers. The UX is much more important one.
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Kind-Lang: contributions are welcome!
Kind is a functional, general-purpose programming language featuring theorems and proofs. It has the smallest core, a pretty solid JavaScript and Scheme compiler (seriously, check how clean is the generated kind.js), and a syntax that is a middle ground between Haskell and TypeScript, in an attempt to make it more accessible.
Hello! Kind is a functional programming language based on self types that has the smallest core, pretty solid JavaScript and Scheme compilers (seriously, check how clean is the generated kind.js is), and a syntax that is a middle ground between Haskell and TypeScript, in an attempt to make it more accessible. In short, it is a general-purpose, practical functional featuring featuring theorems and proofs. Kind still has a lot to evolve, but, at this point in time, it is one of the most mature proof languages in some aspects. We do research related to optimal evaluators, we explore self types, we build web apps (most are in development, but the performance is stellar), and we're close to have great inter-op with Haskell (one file away), EVM compilers (a linearity-checker away). All in all, I believe Kind is a great addition to the functional programming community. We are a small, mostly self-funded team.
- FormCoreJS: A 700-LOC proof language that compiles to ultra-fast JavaScript
HVM
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SaberVM
Reminds me of HVM[0]
[0]https://github.com/HigherOrderCO/HVM
Really interesting to see how new lang concepts and refinements keep popping up this last decade, between Vale, Gleam, Hylo, Austral...
Linear types really opened up lots of ways to improve memory management and compilation improvements.
- GPU Survival Toolkit for the AI age: The bare minimum every developer must know
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A new F# compiler feature: graph-based type-checking
I have a tangential question that is related to this cool new feature.
Warning: the question I ask comes from a part of my brain that is currently melted due to heavy thinking.
Context: I write a fair amount of Clojure, and in Lisps the code itself is a tree. Just like this F# parallel graph type-checker. In Lisps, one would use Macros to perform compile-time computation to accomplish something like this, I think.
More context: Idris2 allows for first class type-driven development, where the types are passed around and used to formally specify program behavior, even down to the value of a particular definition.
Given that this F# feature enables parallel analysis, wouldn't it make sense to do all of our development in a Lisp-like Trie structure where the types are simply part of the program itself, like in Idris2?
Also related, is this similar to how HVM works with their "Interaction nets"?
https://github.com/HigherOrderCO/HVM
https://www.idris-lang.org/
https://clojure.org/
I'm afraid I don't even understand what the difference between code, data, and types are anymore... it used to make sense, but these new languages have dissolved those boundaries in my mind, and I am not sure how to build it back up again.
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A History of Functional Hardware
Impressive presentation but I find two things missing in particular:
* GRIN [1] - arguably a breakthrough in FP compilation; there are several implementation based on this
* HVM [2] - parallel optimal reduction. The results are very impressive.
[1] https://link.springer.com/chapter/10.1007/3-540-63237-9_19
[2] https://github.com/HigherOrderCO/HVM
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Is the abstraction of lazy-functional-purity doomed to leak?
Purity has nothing to do with memoization. Haskell's semantics never "rewrite under a lambda" (unlike, e.g. HVM). Calling (\_ -> e) () twice will (modulo optimizations) always perform the computation in e twice.
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Can one use lambda calculus as an IR?
The most recent exploration of this, that I'm aware of is HVM (another intermediate language / runtime), although this one is not actually based on the lambda calculus, but on the interaction calculus.
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The Rust I Wanted Had No Future
Then, actually unrelated but worth mentioning: HVM. Finally, something new on the functional front that isn't dependent types!
- The Halting Problem Is Decidable on a Set of Asymptotic Probability One (2006)
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Bachelor Thesis Topic
If you are into functional PL, how about https://github.com/HigherOrderCO/HVM? You could experiment if you could schedule that on a GPU?
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For those of you self taught,how did you cope with distractions while using a computer ?
In the interest of seeking ways of optimizing my code, I stumbled upon http://www.rntz.net/datafun/ as a means to do incremental computations of fixpoints while avoiding redundant work. And also the idea of automatic parallelism achieved by using Interaction Nets as a model of computation https://github.com/HigherOrderCO/HVM.
What are some alternatives?
Formality - A modern proof language [Moved to: https://github.com/kind-lang/Kind]
Kind - A next-gen functional language [Moved to: https://github.com/Kindelia/Kind2]
smalltt - Demo for high-performance type theory elaboration
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
brainfuck-web-app - a web app written in Brainfuck that returns your user-agent to you
SICL - A fresh implementation of Common Lisp
Kind2 - A next-gen functional language [Moved to: https://github.com/Kindelia/Kind]
Sharp-Bilinear-Shaders - sharp bilinear shaders for RetroPie, Recalbox and Libretro for sharp pixels without pixel wobble and minimal blurring
fslang-suggestions - The place to make suggestions, discuss and vote on F# language and core library features
atom - A DSL for embedded hard realtime applications.
Vale - Compiler for the Vale programming language - http://vale.dev/
jre-missing - Automatically detects and lists episodes of The Joe Rogan Experience podcast that are currently not available on the Spotify platform. Also detects if episodes have been shortened in duration.